{"id":96257,"date":"2026-09-09T18:39:42","date_gmt":"2026-09-09T15:39:42","guid":{"rendered":"https:\/\/twodots.gr\/?p=96257"},"modified":"2026-09-09T18:39:45","modified_gmt":"2026-09-09T15:39:45","slug":"fl-maestro-multi-agent-federated-learning","status":"publish","type":"post","link":"https:\/\/twodots.gr\/bg\/fl-maestro-multi-agent-federated-learning\/","title":{"rendered":"FL-MAESTRO: \u03cc\u03c4\u03b1\u03bd \u03c4\u03c1\u03b5\u03b9\u03c2 AI agents \u03c3\u03c5\u03bd\u03c4\u03bf\u03bd\u03af\u03b6\u03bf\u03c5\u03bd \u03c4\u03bf federated learning"},"content":{"rendered":"<div class=\"td-article-lede\">\n<p><strong>\u03a4\u03bf FL-MAESTRO \u03b4\u03b5\u03bd \u03b2\u03ac\u03b6\u03b5\u03b9 \u03b1\u03c0\u03bb\u03ce\u03c2 \u03c4\u03c1\u03b5\u03b9\u03c2 AI agents \u03c0\u03ac\u03bd\u03c9 \u03b1\u03c0\u03cc \u03ad\u03bd\u03b1 federated learning \u03c3\u03cd\u03c3\u03c4\u03b7\u03bc\u03b1.<\/strong> \u03a3\u03c5\u03bd\u03c4\u03bf\u03bd\u03af\u03b6\u03b5\u03b9 \u03c3\u03b5 \u03ba\u03ac\u03b8\u03b5 \u03b3\u03cd\u03c1\u03bf \u03c4\u03c1\u03b5\u03b9\u03c2 \u03b1\u03c0\u03bf\u03c6\u03ac\u03c3\u03b5\u03b9\u03c2 \u03c0\u03bf\u03c5 \u03b1\u03bb\u03bb\u03b7\u03bb\u03bf\u03b5\u03c0\u03b7\u03c1\u03b5\u03ac\u03b6\u03bf\u03bd\u03c4\u03b1\u03b9 \u2014 topology, resources \u03ba\u03b1\u03b9 aggregation \u2014 \u03ba\u03b1\u03b9 \u03c0\u03b5\u03c1\u03bd\u03ac \u03c4\u03b7\u03bd \u03ba\u03bf\u03b9\u03bd\u03ae \u03c0\u03c1\u03cc\u03c4\u03b1\u03c3\u03b7 \u03b1\u03c0\u03cc deterministic validator \u03c0\u03c1\u03b9\u03bd \u03b5\u03ba\u03c4\u03b5\u03bb\u03b5\u03c3\u03c4\u03b5\u03af.<\/p>\n<p>\u03a3\u03c4\u03bf \u03b5\u03bb\u03b5\u03b3\u03c7\u03cc\u03bc\u03b5\u03bd\u03bf CIFAR-10 simulation \u03c4\u03c9\u03bd \u03c3\u03c5\u03b3\u03b3\u03c1\u03b1\u03c6\u03ad\u03c9\u03bd, \u03b7 failure-aware \u03b5\u03c0\u03b9\u03bb\u03bf\u03b3\u03ae \u03c0\u03b5\u03c1\u03b9\u03cc\u03c1\u03b9\u03c3\u03b5 \u03c4\u03b7 \u03c7\u03b1\u03bc\u03ad\u03bd\u03b7 \u03b5\u03bd\u03ad\u03c1\u03b3\u03b5\u03b9\u03b1 \u03b1\u03c0\u03cc 33,5% \u03c3\u03b5 3,9% \u03c3\u03c4\u03bf hard scenario \u03ba\u03b1\u03b9 \u03b1\u03c0\u03cc 42,6% \u03c3\u03b5 0,2% \u03c3\u03c4\u03bf extreme, \u03bc\u03b5 \u03c4\u03b7\u03bd coupled \u03b5\u03ba\u03b4\u03bf\u03c7\u03ae \u03bd\u03b1 \u03ba\u03b1\u03c4\u03b1\u03b3\u03c1\u03ac\u03c6\u03b5\u03b9 \u03c4\u03b7\u03bd \u03c5\u03c8\u03b7\u03bb\u03cc\u03c4\u03b5\u03c1\u03b7 best accuracy \u03c3\u03c4\u03bf\u03bd \u03ba\u03cd\u03c1\u03b9\u03bf \u03c0\u03af\u03bd\u03b1\u03ba\u03b1. \u03a4\u03bf \u03c0\u03c1\u03b1\u03ba\u03c4\u03b9\u03ba\u03cc \u03bc\u03ae\u03bd\u03c5\u03bc\u03b1 \u03b3\u03b9\u03b1 \u03bc\u03b9\u03b1 \u03b5\u03c0\u03b9\u03c7\u03b5\u03af\u03c1\u03b7\u03c3\u03b7 \u03b5\u03af\u03bd\u03b1\u03b9 \u03c3\u03c5\u03b3\u03ba\u03b5\u03ba\u03c1\u03b9\u03bc\u03ad\u03bd\u03bf: \u03bf\u03b9 agents \u03ad\u03c7\u03bf\u03c5\u03bd \u03b1\u03be\u03af\u03b1 \u03cc\u03c4\u03b1\u03bd \u03bf\u03b9 \u03c1\u03cc\u03bb\u03bf\u03b9 \u03c4\u03bf\u03c5\u03c2 \u03b5\u03af\u03bd\u03b1\u03b9 \u03c3\u03b1\u03c6\u03b5\u03af\u03c2, \u03bf\u03b9 \u03c0\u03c1\u03bf\u03c4\u03ac\u03c3\u03b5\u03b9\u03c2 \u03c4\u03bf\u03c5\u03c2 \u03b4\u03bf\u03bc\u03b7\u03bc\u03ad\u03bd\u03b5\u03c2 \u03ba\u03b1\u03b9 \u03c4\u03b1 \u03b1\u03b4\u03b9\u03b1\u03c0\u03c1\u03b1\u03b3\u03bc\u03ac\u03c4\u03b5\u03c5\u03c4\u03b1 \u03cc\u03c1\u03b9\u03b1 \u03c0\u03b1\u03c1\u03b1\u03bc\u03ad\u03bd\u03bf\u03c5\u03bd \u03c3\u03b5 \u03ba\u03ce\u03b4\u03b9\u03ba\u03b1.<\/p>\n<\/div>\n<div class=\"td-article-toc\">\n<div class=\"td-toc-title\">\u0421\u044a\u0434\u044a\u0440\u0436\u0430\u043d\u0438\u0435<\/div>\n<ul>\n<li><a href=\"#apofaseis-federated-learning\">\u0393\u03b9\u03b1\u03c4\u03af \u03bf\u03b9 \u03b1\u03c0\u03bf\u03c6\u03ac\u03c3\u03b5\u03b9\u03c2 \u03c3\u03c4\u03bf federated learning \u03b4\u03b5\u03bd \u03b5\u03af\u03bd\u03b1\u03b9 \u03b1\u03bd\u03b5\u03be\u03ac\u03c1\u03c4\u03b7\u03c4\u03b5\u03c2<\/a><\/li>\n<li><a href=\"#chameni-energeia\">\u03a4\u03bf \u03bb\u03b5\u03b9\u03c4\u03bf\u03c5\u03c1\u03b3\u03b9\u03ba\u03cc \u03c0\u03c1\u03cc\u03b2\u03bb\u03b7\u03bc\u03b1 \u03c4\u03b7\u03c2 \u03c7\u03b1\u03bc\u03ad\u03bd\u03b7\u03c2 \u03b5\u03bd\u03ad\u03c1\u03b3\u03b5\u03b9\u03b1\u03c2<\/a><\/li>\n<li><a href=\"#treis-agents-coordinator\">\u03a4\u03c1\u03b5\u03b9\u03c2 specialist agents \u03ba\u03b1\u03b9 \u03ad\u03bd\u03b1\u03c2 coordinator<\/a><\/li>\n<li><a href=\"#deterministic-validator\">\u039f deterministic validator \u03c9\u03c2 \u03cc\u03c1\u03b9\u03bf \u03b1\u03c3\u03c6\u03b1\u03bb\u03b5\u03af\u03b1\u03c2<\/a><\/li>\n<li><a href=\"#peiramatiki-diataxi\">\u03a4\u03b9 \u03b1\u03ba\u03c1\u03b9\u03b2\u03ce\u03c2 \u03b4\u03bf\u03ba\u03b9\u03bc\u03ac\u03c3\u03c4\u03b7\u03ba\u03b5<\/a><\/li>\n<li><a href=\"#arithmitika-apotelesmata\">\u03a4\u03b1 \u03b1\u03c1\u03b9\u03b8\u03bc\u03b7\u03c4\u03b9\u03ba\u03ac \u03b1\u03c0\u03bf\u03c4\u03b5\u03bb\u03ad\u03c3\u03bc\u03b1\u03c4\u03b1 \u03ba\u03b1\u03b9 \u03b7 \u03c3\u03c9\u03c3\u03c4\u03ae \u03b1\u03bd\u03ac\u03b3\u03bd\u03c9\u03c3\u03ae \u03c4\u03bf\u03c5\u03c2<\/a><\/li>\n<li><a href=\"#elachisti-synergasia\">\u0393\u03b9\u03b1\u03c4\u03af \u03c0\u03b5\u03c1\u03b9\u03c3\u03c3\u03cc\u03c4\u03b5\u03c1\u03b7 \u03c3\u03c5\u03b6\u03ae\u03c4\u03b7\u03c3\u03b7 \u03b4\u03b5\u03bd \u03ad\u03c6\u03b5\u03c1\u03b5 \u03ba\u03ad\u03c1\u03b4\u03bf\u03c2<\/a><\/li>\n<li><a href=\"#open-weight-data-residency\">Open-weight \u03bb\u03b5\u03b9\u03c4\u03bf\u03c5\u03c1\u03b3\u03af\u03b1 \u03ba\u03b1\u03b9 data residency<\/a><\/li>\n<li><a href=\"#praktiki-efarmogi\">\u03a4\u03b9 \u03bc\u03c0\u03bf\u03c1\u03bf\u03cd\u03bd \u03bd\u03b1 \u03ba\u03c1\u03b1\u03c4\u03ae\u03c3\u03bf\u03c5\u03bd \u03b5\u03c0\u03b9\u03c7\u03b5\u03b9\u03c1\u03ae\u03c3\u03b5\u03b9\u03c2 \u03ba\u03b1\u03b9 digital teams<\/a><\/li>\n<li><a href=\"#oria-meletis\">\u039f\u03b9 \u03c0\u03b5\u03c1\u03b9\u03bf\u03c1\u03b9\u03c3\u03bc\u03bf\u03af \u03c0\u03bf\u03c5 \u03b4\u03b5\u03bd \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03c7\u03b1\u03b8\u03bf\u03cd\u03bd<\/a><\/li>\n<li><a href=\"#metrisimo-systima\">\u0391\u03c0\u03cc \u03c4\u03bf \u03b5\u03bd\u03c4\u03c5\u03c0\u03c9\u03c3\u03b9\u03b1\u03ba\u03cc demo \u03c3\u03c4\u03bf \u03bc\u03b5\u03c4\u03c1\u03ae\u03c3\u03b9\u03bc\u03bf \u03c3\u03cd\u03c3\u03c4\u03b7\u03bc\u03b1<\/a><\/li>\n<\/ul>\n<\/div>\n<h2 id=\"apofaseis-federated-learning\">\u0393\u03b9\u03b1\u03c4\u03af \u03bf\u03b9 \u03b1\u03c0\u03bf\u03c6\u03ac\u03c3\u03b5\u03b9\u03c2 \u03c3\u03c4\u03bf federated learning \u03b4\u03b5\u03bd \u03b5\u03af\u03bd\u03b1\u03b9 \u03b1\u03bd\u03b5\u03be\u03ac\u03c1\u03c4\u03b7\u03c4\u03b5\u03c2<\/h2>\n<p>\u03a3\u03c4\u03bf federated learning, \u03ad\u03bd\u03b1\u03c2 \u03ba\u03b5\u03bd\u03c4\u03c1\u03b9\u03ba\u03cc\u03c2 server \u03c3\u03c4\u03ad\u03bb\u03bd\u03b5\u03b9 \u03c4\u03bf \u03c4\u03c1\u03ad\u03c7\u03bf\u03bd \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf \u03c3\u03b5 \u03b4\u03b9\u03b1\u03b8\u03ad\u03c3\u03b9\u03bc\u03bf\u03c5\u03c2 clients. \u039f\u03b9 clients \u03b5\u03ba\u03c0\u03b1\u03b9\u03b4\u03b5\u03cd\u03bf\u03c5\u03bd \u03c4\u03bf\u03c0\u03b9\u03ba\u03ac \u03c0\u03ac\u03bd\u03c9 \u03c3\u03c4\u03b1 \u03b4\u03b9\u03ba\u03ac \u03c4\u03bf\u03c5\u03c2 \u03b4\u03b5\u03b4\u03bf\u03bc\u03ad\u03bd\u03b1 \u03ba\u03b1\u03b9 \u03b5\u03c0\u03b9\u03c3\u03c4\u03c1\u03ad\u03c6\u03bf\u03c5\u03bd model updates, \u03cc\u03c7\u03b9 \u03c4\u03b1 \u03b1\u03ba\u03b1\u03c4\u03ad\u03c1\u03b3\u03b1\u03c3\u03c4\u03b1 \u03b4\u03b5\u03b4\u03bf\u03bc\u03ad\u03bd\u03b1 \u03c4\u03bf\u03c5\u03c2, \u03ce\u03c3\u03c4\u03b5 \u03bf server \u03bd\u03b1 \u03c5\u03c0\u03bf\u03bb\u03bf\u03b3\u03af\u03c3\u03b5\u03b9 \u03c4\u03bf \u03b5\u03c0\u03cc\u03bc\u03b5\u03bd\u03bf global model. \u0397 \u03b5\u03c0\u03af\u03c3\u03b7\u03bc\u03b7 \u03c4\u03b5\u03ba\u03bc\u03b7\u03c1\u03af\u03c9\u03c3\u03b7 \u03c4\u03bf\u03c5 TensorFlow Federated \u03c0\u03b5\u03c1\u03b9\u03b3\u03c1\u03ac\u03c6\u03b5\u03b9 \u03b1\u03ba\u03c1\u03b9\u03b2\u03ce\u03c2 \u03b1\u03c5\u03c4\u03ae \u03c4\u03b7\u03bd \u03b5\u03c0\u03b1\u03bd\u03b1\u03bb\u03b7\u03c0\u03c4\u03b9\u03ba\u03ae \u03c3\u03c7\u03ad\u03c3\u03b7 \u03b1\u03bd\u03ac\u03bc\u03b5\u03c3\u03b1 \u03c3\u03b5 client-local computation, server state \u03ba\u03b1\u03b9 aggregation.<\/p>\n<p>\u0397 \u03b1\u03c0\u03bb\u03ae \u03c0\u03b5\u03c1\u03b9\u03b3\u03c1\u03b1\u03c6\u03ae \u03ba\u03c1\u03cd\u03b2\u03b5\u03b9 \u03c4\u03bf \u03b4\u03cd\u03c3\u03ba\u03bf\u03bb\u03bf runtime \u03c0\u03c1\u03cc\u03b2\u03bb\u03b7\u03bc\u03b1. \u0397 \u03bc\u03c0\u03b1\u03c4\u03b1\u03c1\u03af\u03b1 \u03c0\u03ad\u03c6\u03c4\u03b5\u03b9, \u03bf\u03b9 \u03c3\u03c5\u03bd\u03b4\u03ad\u03c3\u03b5\u03b9\u03c2 \u03b4\u03b9\u03b1\u03ba\u03cc\u03c0\u03c4\u03bf\u03bd\u03c4\u03b1\u03b9, \u03c4\u03bf bandwidth \u03bc\u03b5\u03c4\u03b1\u03b2\u03ac\u03bb\u03bb\u03b5\u03c4\u03b1\u03b9 \u03ba\u03b1\u03b9 \u03bf\u03b9 \u03c3\u03c5\u03c3\u03ba\u03b5\u03c5\u03ad\u03c2 \u03b4\u03b5\u03bd \u03ad\u03c7\u03bf\u03c5\u03bd \u03af\u03b4\u03b9\u03b1 \u03c5\u03c0\u03bf\u03bb\u03bf\u03b3\u03b9\u03c3\u03c4\u03b9\u03ba\u03ae \u03b9\u03ba\u03b1\u03bd\u03cc\u03c4\u03b7\u03c4\u03b1. \u03a3\u03b5 \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03ae \u03ba\u03bb\u03af\u03bc\u03b1\u03ba\u03b1, \u03bc\u03cc\u03bd\u03bf \u03ad\u03bd\u03b1 \u03bc\u03b9\u03ba\u03c1\u03cc \u03bc\u03ad\u03c1\u03bf\u03c2 \u03b1\u03c0\u03cc \u03ad\u03bd\u03b1\u03bd \u03c0\u03bf\u03bb\u03cd \u03bc\u03b5\u03b3\u03ac\u03bb\u03bf \u03c0\u03bb\u03b7\u03b8\u03c5\u03c3\u03bc\u03cc \u03c3\u03c5\u03c3\u03ba\u03b5\u03c5\u03ce\u03bd \u03c3\u03c5\u03bc\u03bc\u03b5\u03c4\u03ad\u03c7\u03b5\u03b9 \u03c3\u03b5 \u03ba\u03ac\u03b8\u03b5 \u03b3\u03cd\u03c1\u03bf. \u0393\u03b9\u2019 \u03b1\u03c5\u03c4\u03cc \u03ba\u03b1\u03b9 \u03b7 \u03b5\u03c0\u03b9\u03bb\u03bf\u03b3\u03ae \u03c4\u03bf\u03c5 \u03c0\u03bf\u03b9\u03bf\u03c2 \u03b8\u03b1 \u03c3\u03c5\u03bc\u03bc\u03b5\u03c4\u03ac\u03c3\u03c7\u03b5\u03b9 \u03b4\u03b5\u03bd \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03b1\u03bd\u03c4\u03b9\u03bc\u03b5\u03c4\u03c9\u03c0\u03af\u03b6\u03b5\u03c4\u03b1\u03b9 \u03c9\u03c2 \u03c3\u03c4\u03b1\u03b8\u03b5\u03c1\u03ae \u03bb\u03b5\u03c0\u03c4\u03bf\u03bc\u03ad\u03c1\u03b5\u03b9\u03b1.<\/p>\n<p>\u0397 \u03c4\u03bf\u03c0\u03bf\u03bb\u03bf\u03b3\u03af\u03b1 \u03b5\u03c0\u03b9\u03ba\u03bf\u03b9\u03bd\u03c9\u03bd\u03af\u03b1\u03c2, \u03b7 \u03ba\u03b1\u03c4\u03b1\u03bd\u03bf\u03bc\u03ae \u03c0\u03cc\u03c1\u03c9\u03bd \u03ba\u03b1\u03b9 \u03bf \u03ba\u03b1\u03bd\u03cc\u03bd\u03b1\u03c2 aggregation \u03b5\u03c0\u03b7\u03c1\u03b5\u03ac\u03b6\u03bf\u03c5\u03bd \u03b7 \u03bc\u03af\u03b1 \u03c4\u03b7\u03bd \u03ac\u03bb\u03bb\u03b7. \u03a0\u03b5\u03c1\u03b9\u03c3\u03c3\u03cc\u03c4\u03b5\u03c1\u03b1 local epochs \u03b2\u03bf\u03b7\u03b8\u03bf\u03cd\u03bd \u03bc\u03cc\u03bd\u03bf \u03b1\u03bd \u03bf client \u03bf\u03bb\u03bf\u03ba\u03bb\u03b7\u03c1\u03ce\u03c3\u03b5\u03b9 \u03c4\u03bf\u03bd \u03b3\u03cd\u03c1\u03bf. \u039c\u03b9\u03b1 hierarchical topology \u03c7\u03c1\u03b5\u03b9\u03ac\u03b6\u03b5\u03c4\u03b1\u03b9 \u03b9\u03ba\u03b1\u03bd\u03bf\u03cd\u03c2 aggregators. \u0388\u03bd\u03b1 loss-weighted update \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03b5\u03af\u03bd\u03b1\u03b9 \u03c7\u03c1\u03ae\u03c3\u03b9\u03bc\u03bf \u03b3\u03b9\u03b1 non-IID \u03b4\u03b5\u03b4\u03bf\u03bc\u03ad\u03bd\u03b1, \u03b1\u03bb\u03bb\u03ac \u03b4\u03b5\u03bd \u03ad\u03c7\u03b5\u03b9 \u03b1\u03be\u03af\u03b1 \u03b1\u03bd \u03c4\u03bf \u03b1\u03bd\u03c4\u03af\u03c3\u03c4\u03bf\u03b9\u03c7\u03bf device \u03b5\u03be\u03b1\u03bd\u03c4\u03bb\u03ae\u03c3\u03b5\u03b9 \u03c4\u03b7\u03bd \u03b5\u03bd\u03ad\u03c1\u03b3\u03b5\u03b9\u03ac \u03c4\u03bf\u03c5 \u03c0\u03c1\u03b9\u03bd \u03c4\u03bf upload. \u03a4\u03bf FL-MAESTRO \u03bf\u03c1\u03b3\u03b1\u03bd\u03ce\u03bd\u03b5\u03b9 \u03b1\u03c5\u03c4\u03ae \u03c4\u03b7 \u03c3\u03cd\u03b6\u03b5\u03c5\u03be\u03b7 \u03b1\u03bd\u03ac \u03b3\u03cd\u03c1\u03bf, \u03b1\u03bd\u03c4\u03af \u03bd\u03b1 \u03b1\u03c6\u03ae\u03bd\u03b5\u03b9 \u03c4\u03c1\u03b5\u03b9\u03c2 \u03b1\u03c0\u03bf\u03bc\u03bf\u03bd\u03c9\u03bc\u03ad\u03bd\u03bf\u03c5\u03c2 \u03ba\u03b1\u03bd\u03cc\u03bd\u03b5\u03c2 \u03bd\u03b1 \u03c3\u03c5\u03b3\u03ba\u03c1\u03bf\u03c5\u03c3\u03c4\u03bf\u03cd\u03bd.<\/p>\n<p>\u0397 \u03c3\u03c5\u03b3\u03b3\u03b5\u03bd\u03b9\u03ba\u03ae \u03c0\u03c1\u03bf\u03c3\u03ad\u03b3\u03b3\u03b9\u03c3\u03b7 \u03c4\u03bf\u03c5 <a href=\"https:\/\/twodots.gr\/fedopal-mia-mono-epikoinonia-synergatiki-ai-edge\/\">FedOPAL \u03b3\u03b9\u03b1 \u03c3\u03c5\u03bd\u03b5\u03c1\u03b3\u03b1\u03c4\u03b9\u03ba\u03ae AI \u03c3\u03c4\u03bf edge<\/a> \u03b4\u03b5\u03af\u03c7\u03bd\u03b5\u03b9 \u03c4\u03b7\u03bd \u03ac\u03bb\u03bb\u03b7 \u03c0\u03bb\u03b5\u03c5\u03c1\u03ac \u03c4\u03bf\u03c5 \u03af\u03b4\u03b9\u03bf\u03c5 \u03c0\u03c1\u03bf\u03b2\u03bb\u03ae\u03bc\u03b1\u03c4\u03bf\u03c2: \u03cc\u03c4\u03b1\u03bd communication budget, \u03b9\u03b4\u03b9\u03c9\u03c4\u03b9\u03ba\u03cc\u03c4\u03b7\u03c4\u03b1 \u03ba\u03b1\u03b9 learning objective \u03c3\u03c5\u03bd\u03b4\u03ad\u03bf\u03bd\u03c4\u03b1\u03b9, \u03b7 \u03b1\u03c1\u03c7\u03b9\u03c4\u03b5\u03ba\u03c4\u03bf\u03bd\u03b9\u03ba\u03ae \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03c4\u03b1 \u03bc\u03b5\u03c4\u03c1\u03ac \u03bc\u03b1\u03b6\u03af.<\/p>\n<h2 id=\"chameni-energeia\">\u03a4\u03bf \u03bb\u03b5\u03b9\u03c4\u03bf\u03c5\u03c1\u03b3\u03b9\u03ba\u03cc \u03c0\u03c1\u03cc\u03b2\u03bb\u03b7\u03bc\u03b1 \u03c4\u03b7\u03c2 \u03c7\u03b1\u03bc\u03ad\u03bd\u03b7\u03c2 \u03b5\u03bd\u03ad\u03c1\u03b3\u03b5\u03b9\u03b1\u03c2<\/h2>\n<p>\u039f\u03b9 \u03c3\u03c5\u03b3\u03b3\u03c1\u03b1\u03c6\u03b5\u03af\u03c2 \u03b5\u03c3\u03c4\u03b9\u03ac\u03b6\u03bf\u03c5\u03bd \u03c3\u03c4\u03bf\u03c5\u03c2 <em>predicted failures<\/em>: clients \u03c0\u03bf\u03c5, \u03bc\u03b5 \u03b2\u03ac\u03c3\u03b7 \u03c4\u03b7\u03bd \u03c5\u03c0\u03bf\u03bb\u03b5\u03b9\u03c0\u03cc\u03bc\u03b5\u03bd\u03b7 \u03bc\u03c0\u03b1\u03c4\u03b1\u03c1\u03af\u03b1 \u03ba\u03b1\u03b9 \u03c4\u03bf \u03ba\u03cc\u03c3\u03c4\u03bf\u03c2 \u03c4\u03bf\u03c5 default workload, \u03c0\u03c1\u03bf\u03b2\u03bb\u03ad\u03c0\u03b5\u03c4\u03b1\u03b9 \u03cc\u03c4\u03b9 \u03b8\u03b1 \u03b1\u03c0\u03bf\u03c4\u03cd\u03c7\u03bf\u03c5\u03bd \u03c0\u03c1\u03b9\u03bd \u03bf\u03bb\u03bf\u03ba\u03bb\u03b7\u03c1\u03ce\u03c3\u03bf\u03c5\u03bd \u03c4\u03bf\u03bd \u03b3\u03cd\u03c1\u03bf. \u0397 \u03bb\u03af\u03c3\u03c4\u03b1 \u03c5\u03c0\u03bf\u03bb\u03bf\u03b3\u03af\u03b6\u03b5\u03c4\u03b1\u03b9 \u03bd\u03c4\u03b5\u03c4\u03b5\u03c1\u03bc\u03b9\u03bd\u03b9\u03c3\u03c4\u03b9\u03ba\u03ac \u03bc\u03b5 \u03c3\u03b7\u03bc\u03b5\u03af\u03bf \u03b1\u03bd\u03b1\u03c6\u03bf\u03c1\u03ac\u03c2 star topology, \u03c0\u03ad\u03bd\u03c4\u03b5 local epochs, \u03c4\u03bf \u03b4\u03b9\u03b1\u03b8\u03ad\u03c3\u03b9\u03bc\u03bf bandwidth \u03ba\u03b1\u03b9 \u03c7\u03c9\u03c1\u03af\u03c2 compression.<\/p>\n<p>\u0391\u03bd \u03ad\u03bd\u03b1\u03c2 \u03ba\u03bb\u03b1\u03c3\u03b9\u03ba\u03cc\u03c2 baseline \u03b4\u03b5\u03c7\u03b8\u03b5\u03af \u03b1\u03c5\u03c4\u03bf\u03cd\u03c2 \u03c4\u03bf\u03c5\u03c2 clients \u03ba\u03b1\u03bd\u03bf\u03bd\u03b9\u03ba\u03ac, \u03bf\u03b9 \u03c3\u03c5\u03c3\u03ba\u03b5\u03c5\u03ad\u03c2 \u03ba\u03b1\u03c4\u03b1\u03bd\u03b1\u03bb\u03ce\u03bd\u03bf\u03c5\u03bd \u03b5\u03bd\u03ad\u03c1\u03b3\u03b5\u03b9\u03b1 \u03b3\u03b9\u03b1 \u03c4\u03bf\u03c0\u03b9\u03ba\u03ae \u03b5\u03ba\u03c0\u03b1\u03af\u03b4\u03b5\u03c5\u03c3\u03b7 \u03ba\u03b1\u03b9 uplink, \u03b1\u03bb\u03bb\u03ac \u03c4\u03bf update \u03c4\u03bf\u03c5\u03c2 \u03b4\u03b5\u03bd \u03c6\u03c4\u03ac\u03bd\u03b5\u03b9 \u03c0\u03bf\u03c4\u03ad \u03c3\u03c4\u03bf \u03c4\u03b5\u03bb\u03b9\u03ba\u03cc aggregation. \u03a4\u03bf paper \u03bf\u03bd\u03bf\u03bc\u03ac\u03b6\u03b5\u03b9 \u03b1\u03c5\u03c4\u03ae \u03c4\u03b7 \u03c3\u03c0\u03b1\u03c4\u03ac\u03bb\u03b7 <em>wasted round energy<\/em>: \u03c4\u03bf \u03c0\u03bf\u03c3\u03bf\u03c3\u03c4\u03cc \u03c4\u03b7\u03c2 \u03b5\u03bd\u03ad\u03c1\u03b3\u03b5\u03b9\u03b1\u03c2 \u03b5\u03bd\u03cc\u03c2 \u03b3\u03cd\u03c1\u03bf\u03c5 \u03c0\u03bf\u03c5 \u03b4\u03b1\u03c0\u03b1\u03bd\u03ae\u03b8\u03b7\u03ba\u03b5 \u03c3\u03b5 clients \u03bf\u03b9 \u03bf\u03c0\u03bf\u03af\u03bf\u03b9 \u03b1\u03c0\u03ad\u03c4\u03c5\u03c7\u03b1\u03bd \u03c0\u03c1\u03b9\u03bd \u03c3\u03c5\u03bd\u03b5\u03b9\u03c3\u03c6\u03ad\u03c1\u03bf\u03c5\u03bd.<\/p>\n<p>\u03a4\u03bf FL-MAESTRO \u03c0\u03b5\u03c1\u03bd\u03ac \u03c4\u03b7 \u03bb\u03af\u03c3\u03c4\u03b1 predicted failures \u03c3\u03c4\u03bf\u03bd orchestrator \u03ba\u03b1\u03b9 \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03ba\u03c1\u03b1\u03c4\u03ae\u03c3\u03b5\u03b9 \u03b5\u03ba\u03c4\u03cc\u03c2 \u03b3\u03cd\u03c1\u03bf\u03c5 \u03c4\u03bf\u03c5\u03c2 \u03bf\u03c1\u03b9\u03b1\u03ba\u03bf\u03cd\u03c2 clients. \u0391\u03c5\u03c4\u03cc \u03b5\u03be\u03b7\u03b3\u03b5\u03af \u03c4\u03bf \u03bc\u03b5\u03b3\u03b1\u03bb\u03cd\u03c4\u03b5\u03c1\u03bf \u03bc\u03ad\u03c1\u03bf\u03c2 \u03c4\u03b7\u03c2 \u03b5\u03bd\u03b5\u03c1\u03b3\u03b5\u03b9\u03b1\u03ba\u03ae\u03c2 \u03b2\u03b5\u03bb\u03c4\u03af\u03c9\u03c3\u03b7\u03c2. \u0394\u03b5\u03bd \u03b1\u03c0\u03bf\u03b4\u03b5\u03b9\u03ba\u03bd\u03cd\u03b5\u03b9 \u03cc\u03c4\u03b9 \u00ab\u03c4\u03b1 LLM \u03b5\u03be\u03bf\u03b9\u03ba\u03bf\u03bd\u03bf\u03bc\u03bf\u03cd\u03bd \u03b5\u03bd\u03ad\u03c1\u03b3\u03b5\u03b9\u03b1\u00bb \u03b3\u03b5\u03bd\u03b9\u03ba\u03ac. \u0397 \u03af\u03b4\u03b9\u03b1 \u03b7 \u03bc\u03b5\u03bb\u03ad\u03c4\u03b7 \u03b1\u03bd\u03b1\u03b3\u03bd\u03c9\u03c1\u03af\u03b6\u03b5\u03b9 \u03cc\u03c4\u03b9 \u03ad\u03bd\u03b1\u03c2 \u03b1\u03c0\u03bb\u03bf\u03cd\u03c3\u03c4\u03b5\u03c1\u03bf\u03c2 failure-aware baseline \u03c0\u03bf\u03c5 \u03ba\u03b1\u03c4\u03b1\u03bd\u03ac\u03bb\u03c9\u03bd\u03b5 \u03c4\u03b7\u03bd \u03af\u03b4\u03b9\u03b1 \u03bb\u03af\u03c3\u03c4\u03b1 \u03b8\u03b1 \u03bc\u03c0\u03bf\u03c1\u03bf\u03cd\u03c3\u03b5 \u03bd\u03b1 \u03c0\u03c1\u03bf\u03c3\u03b5\u03b3\u03b3\u03af\u03c3\u03b5\u03b9 \u03b1\u03c5\u03c4\u03ae \u03c4\u03b7\u03bd \u03b5\u03bd\u03b5\u03c1\u03b3\u03b5\u03b9\u03b1\u03ba\u03ae \u03b1\u03c0\u03bf\u03b4\u03bf\u03c4\u03b9\u03ba\u03cc\u03c4\u03b7\u03c4\u03b1.<\/p>\n<aside class=\"td-article-note\">\n<p><strong>\u0397 \u03c3\u03c9\u03c3\u03c4\u03ae \u03b1\u03b9\u03c4\u03b9\u03ce\u03b4\u03b7\u03c2 \u03b1\u03bd\u03ac\u03b3\u03bd\u03c9\u03c3\u03b7:<\/strong> \u03c4\u03bf \u03ba\u03cd\u03c1\u03b9\u03bf \u03b5\u03bd\u03b5\u03c1\u03b3\u03b5\u03b9\u03b1\u03ba\u03cc \u03ba\u03ad\u03c1\u03b4\u03bf\u03c2 \u03c0\u03c1\u03bf\u03ad\u03c1\u03c7\u03b5\u03c4\u03b1\u03b9 \u03b1\u03c0\u03cc \u03c4\u03b7\u03bd predicted-failure list \u03ba\u03b1\u03b9 \u03c4\u03b7\u03bd \u03ad\u03b3\u03ba\u03b1\u03b9\u03c1\u03b7 \u03b1\u03c0\u03bf\u03c6\u03c5\u03b3\u03ae clients \u03c0\u03bf\u03c5 \u03b4\u03b5\u03bd \u03b8\u03b1 \u03bf\u03bb\u03bf\u03ba\u03bb\u03b7\u03c1\u03ce\u03c3\u03bf\u03c5\u03bd \u03c4\u03bf\u03bd \u03b3\u03cd\u03c1\u03bf. \u0397 multi-agent orchestration \u03b1\u03be\u03b9\u03bf\u03bb\u03bf\u03b3\u03b5\u03af\u03c4\u03b1\u03b9 \u03ba\u03c5\u03c1\u03af\u03c9\u03c2 \u03c3\u03c4\u03bf \u03b1\u03bd \u03c3\u03c5\u03bd\u03c4\u03bf\u03bd\u03af\u03b6\u03b5\u03b9 \u03b1\u03c5\u03c4\u03ae \u03c4\u03b7\u03bd \u03b5\u03c0\u03b9\u03bb\u03bf\u03b3\u03ae \u03bc\u03b5 topology, workload \u03ba\u03b1\u03b9 aggregation.<\/p>\n<\/aside>\n<h2 id=\"treis-agents-coordinator\">\u03a4\u03c1\u03b5\u03b9\u03c2 specialist agents \u03ba\u03b1\u03b9 \u03ad\u03bd\u03b1\u03c2 coordinator<\/h2>\n<p>\u0397 \u03b1\u03c1\u03c7\u03b9\u03c4\u03b5\u03ba\u03c4\u03bf\u03bd\u03b9\u03ba\u03ae \u03c7\u03c9\u03c1\u03af\u03b6\u03b5\u03b9 \u03c4\u03bf action space \u03c3\u03b5 \u03c4\u03c1\u03b5\u03b9\u03c2 \u03c1\u03cc\u03bb\u03bf\u03c5\u03c2. \u039f\u03b9 agents \u03b4\u03b5\u03bd \u03b1\u03bd\u03c4\u03b1\u03bb\u03bb\u03ac\u03c3\u03c3\u03bf\u03c5\u03bd \u03b1\u03cc\u03c1\u03b9\u03c3\u03c4\u03b7 \u03c3\u03c5\u03b6\u03ae\u03c4\u03b7\u03c3\u03b7: \u03b5\u03ba\u03c0\u03ad\u03bc\u03c0\u03bf\u03c5\u03bd typed constraint analyses, \u03c7\u03c1\u03b7\u03c3\u03b9\u03bc\u03bf\u03c0\u03bf\u03b9\u03bf\u03cd\u03bd \u03c3\u03c5\u03b3\u03ba\u03b5\u03ba\u03c1\u03b9\u03bc\u03ad\u03bd\u03b1 \u03b5\u03c1\u03b3\u03b1\u03bb\u03b5\u03af\u03b1 \u03ba\u03cc\u03c3\u03c4\u03bf\u03c5\u03c2 \u03ba\u03b1\u03b9 \u03b1\u03bd\u03b1\u03b8\u03b5\u03c9\u03c1\u03bf\u03cd\u03bd \u03c4\u03b9\u03c2 \u03c0\u03c1\u03bf\u03c4\u03ac\u03c3\u03b5\u03b9\u03c2 \u03c4\u03bf\u03c5\u03c2 \u03b2\u03bb\u03ad\u03c0\u03bf\u03bd\u03c4\u03b1\u03c2 \u03c4\u03b9\u03c2 \u03b4\u03cd\u03bf \u03ac\u03bb\u03bb\u03b5\u03c2 decision dimensions. \u0388\u03bd\u03b1\u03c2 Coordinator \u03bc\u03b5 \u03c4\u03bf \u03af\u03b4\u03b9\u03bf LLM backend, \u03b1\u03bb\u03bb\u03ac \u03c7\u03c9\u03c1\u03af\u03c2 \u03b5\u03c1\u03b3\u03b1\u03bb\u03b5\u03af\u03b1, \u03c3\u03c5\u03bd\u03b8\u03ad\u03c4\u03b5\u03b9 \u03c4\u03b7\u03bd \u03c4\u03b5\u03bb\u03b9\u03ba\u03ae \u03b1\u03c0\u03cc\u03c6\u03b1\u03c3\u03b7 \u03c3\u03b5 typed JSON.<\/p>\n<div class=\"td-comparison td-comparison-cards td-comparison-cards--horizontal\">\n<div class=\"td-comparison-grid td-comparison-grid--three\">\n<div class=\"td-platform-card\">\n<p class=\"td-comparison-title\">TopologyAgent<\/p>\n<p>\u0395\u03c0\u03b9\u03bb\u03ad\u03b3\u03b5\u03b9 star, hierarchical, ring \u03ae peer-to-peer \u03ba\u03b1\u03b9 \u03c5\u03c0\u03bf\u03bb\u03bf\u03b3\u03af\u03b6\u03b5\u03b9 \u03c4\u03bf communication cost. \u03a3\u03c4\u03b7\u03bd hierarchical \u03b5\u03c0\u03b9\u03bb\u03bf\u03b3\u03ae \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03bf\u03c1\u03af\u03c3\u03b5\u03b9 clients \u03bc\u03b5 \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03ae aggregation capability.<\/p>\n<div class=\"td-badge-row\"><span class=\"td-badge\">Topology<\/span><span class=\"td-badge\">Communication cost<\/span><\/div>\n<\/div>\n<div class=\"td-platform-card\">\n<p class=\"td-comparison-title\">ResourceAgent<\/p>\n<p>\u039f\u03c1\u03af\u03b6\u03b5\u03b9 \u03b1\u03bd\u03ac client local epochs, compression \u03ba\u03b1\u03b9 bandwidth. \u0395\u03bb\u03ad\u03b3\u03c7\u03b5\u03b9 \u03bc\u03b5 \u03b5\u03c1\u03b3\u03b1\u03bb\u03b5\u03af\u03b1 \u03b1\u03bd \u03c4\u03bf workload \u03c7\u03c9\u03c1\u03ac \u03c3\u03c4\u03b7\u03bd \u03c5\u03c0\u03bf\u03bb\u03b5\u03b9\u03c0\u03cc\u03bc\u03b5\u03bd\u03b7 \u03bc\u03c0\u03b1\u03c4\u03b1\u03c1\u03af\u03b1.<\/p>\n<div class=\"td-badge-row\"><span class=\"td-badge\">Resources<\/span><span class=\"td-badge\">Battery feasibility<\/span><\/div>\n<\/div>\n<div class=\"td-platform-card td-platform-card--navy\">\n<p class=\"td-comparison-title\">AggregationAgent<\/p>\n<p>\u0395\u03c0\u03b9\u03bb\u03ad\u03b3\u03b5\u03b9 uniform, data-size, loss-weighted \u03ae explicit weights \u03ba\u03b1\u03b9 \u03c5\u03bb\u03bf\u03c0\u03bf\u03b9\u03b5\u03af aggregator-to-child mapping \u03cc\u03c4\u03b1\u03bd \u03b7 topology \u03b5\u03af\u03bd\u03b1\u03b9 hierarchical.<\/p>\n<div class=\"td-badge-row\"><span class=\"td-badge\">Aggregation<\/span><span class=\"td-badge\">Non-IID data<\/span><\/div>\n<\/div>\n<\/div>\n<\/div>\n<p>\u039f \u03b4\u03b9\u03b1\u03c7\u03c9\u03c1\u03b9\u03c3\u03bc\u03cc\u03c2 \u03c0\u03b5\u03c1\u03b9\u03bf\u03c1\u03af\u03b6\u03b5\u03b9 \u03c4\u03bf \u03b3\u03bd\u03c9\u03c3\u03c4\u03b9\u03ba\u03cc \u03c0\u03b5\u03b4\u03af\u03bf \u03ba\u03ac\u03b8\u03b5 agent, \u03c7\u03c9\u03c1\u03af\u03c2 \u03bd\u03b1 \u03b1\u03c6\u03b1\u03b9\u03c1\u03b5\u03af \u03c4\u03b9\u03c2 \u03b5\u03be\u03b1\u03c1\u03c4\u03ae\u03c3\u03b5\u03b9\u03c2. \u0397 \u03b1\u03c1\u03c7\u03ae \u03b5\u03af\u03bd\u03b1\u03b9 \u03c0\u03b1\u03c1\u03cc\u03bc\u03bf\u03b9\u03b1 \u03bc\u03b5 \u03c4\u03bf <a href=\"https:\/\/twodots.gr\/multi-agent-ai-concurrency-control\/\">concurrency control \u03c3\u03b5 multi-agent \u03c3\u03c5\u03c3\u03c4\u03ae\u03bc\u03b1\u03c4\u03b1<\/a>: \u03c0\u03bf\u03bb\u03bb\u03bf\u03af \u03c1\u03cc\u03bb\u03bf\u03b9 \u03b2\u03bf\u03b7\u03b8\u03bf\u03cd\u03bd \u03bc\u03cc\u03bd\u03bf \u03cc\u03c4\u03b1\u03bd \u03bc\u03bf\u03b9\u03c1\u03ac\u03b6\u03bf\u03bd\u03c4\u03b1\u03b9 \u03c3\u03b1\u03c6\u03ad\u03c2 state, \u03ad\u03c7\u03bf\u03c5\u03bd \u03c3\u03c5\u03bc\u03b2\u03b1\u03c4\u03ac schemas \u03ba\u03b1\u03b9 \u03b4\u03b5\u03bd \u03b3\u03c1\u03ac\u03c6\u03bf\u03c5\u03bd \u03b1\u03bd\u03b5\u03be\u03ad\u03bb\u03b5\u03b3\u03ba\u03c4\u03b1 \u03c0\u03ac\u03bd\u03c9 \u03c3\u03c4\u03b7\u03bd \u03af\u03b4\u03b9\u03b1 \u03b1\u03c0\u03cc\u03c6\u03b1\u03c3\u03b7.<\/p>\n<h2 id=\"deterministic-validator\">\u039f deterministic validator \u03c9\u03c2 \u03cc\u03c1\u03b9\u03bf \u03b1\u03c3\u03c6\u03b1\u03bb\u03b5\u03af\u03b1\u03c2<\/h2>\n<p>\u0397 \u03c4\u03b5\u03bb\u03b9\u03ba\u03ae \u03b1\u03c0\u03cc\u03c6\u03b1\u03c3\u03b7 \u03b4\u03b5\u03bd \u03b5\u03ba\u03c4\u03b5\u03bb\u03b5\u03af\u03c4\u03b1\u03b9 \u03b5\u03c0\u03b5\u03b9\u03b4\u03ae \u03b1\u03c0\u03bb\u03ce\u03c2 \u03c4\u03b7\u03bd \u03c0\u03c1\u03cc\u03c4\u03b5\u03b9\u03bd\u03b5 \u03ad\u03bd\u03b1 LLM. \u0388\u03bd\u03b1\u03c2 non-LLM validator \u03c3\u03b5 Python \u03b5\u03bb\u03ad\u03b3\u03c7\u03b5\u03b9 \u03b1\u03bd \u03bf client \u03b5\u03af\u03bd\u03b1\u03b9 \u03b5\u03bd\u03b5\u03c1\u03b3\u03b5\u03b9\u03b1\u03ba\u03ac \u03b5\u03c0\u03b9\u03bb\u03ad\u03be\u03b9\u03bc\u03bf\u03c2, \u03b1\u03bd \u03ad\u03bd\u03b1\u03c2 \u03c0\u03c1\u03bf\u03c4\u03b5\u03b9\u03bd\u03cc\u03bc\u03b5\u03bd\u03bf\u03c2 aggregator \u03ad\u03c7\u03b5\u03b9 \u03c4\u03b7 \u03c3\u03c7\u03b5\u03c4\u03b9\u03ba\u03ae \u03b4\u03c5\u03bd\u03b1\u03c4\u03cc\u03c4\u03b7\u03c4\u03b1, \u03b1\u03bd \u03c4\u03b1 weights \u03ba\u03b1\u03bd\u03bf\u03bd\u03b9\u03ba\u03bf\u03c0\u03bf\u03b9\u03bf\u03cd\u03bd\u03c4\u03b1\u03b9 \u03bc\u03b5 \u03b1\u03bd\u03bf\u03c7\u03ae 10<sup>\u22126<\/sup> \u03ba\u03b1\u03b9 \u03b1\u03bd \u03c4\u03b1 local epochs \u03b2\u03c1\u03af\u03c3\u03ba\u03bf\u03bd\u03c4\u03b1\u03b9 \u03b1\u03c0\u03cc 1 \u03ad\u03c9\u03c2 20. \u038c\u03c4\u03b1\u03bd \u03bc\u03b9\u03b1 \u03b1\u03c0\u03cc\u03c6\u03b1\u03c3\u03b7 \u03c0\u03b1\u03c1\u03b1\u03b2\u03b9\u03ac\u03b6\u03b5\u03b9 \u03c4\u03b1 \u03cc\u03c1\u03b9\u03b1, \u03c0\u03b5\u03c1\u03b9\u03ba\u03cc\u03c0\u03c4\u03b5\u03c4\u03b1\u03b9 \u03c3\u03c4\u03b7 feasible boundary.<\/p>\n<div class=\"td-decision-band\">\n<div class=\"td-decision-band-content\">\n<p class=\"td-decision-band-kicker\">\u039a\u03b1\u03bd\u03cc\u03bd\u03b1\u03c2 FL-MAESTRO<\/p>\n<p class=\"td-decision-band-title\">\u03a4\u03bf \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf \u03c0\u03c1\u03bf\u03c4\u03b5\u03af\u03bd\u03b5\u03b9\u00b7 \u03bf \u03ba\u03ce\u03b4\u03b9\u03ba\u03b1\u03c2 \u03b5\u03c0\u03b9\u03b2\u03ac\u03bb\u03bb\u03b5\u03b9 \u03c4\u03b1 \u03b1\u03b4\u03b9\u03b1\u03c0\u03c1\u03b1\u03b3\u03bc\u03ac\u03c4\u03b5\u03c5\u03c4\u03b1 \u03cc\u03c1\u03b9\u03b1<\/p>\n<p>Battery budget, aggregator capability, normalized weights \u03ba\u03b1\u03b9 \u03b5\u03c0\u03b9\u03c4\u03c1\u03b5\u03c0\u03c4\u03cc workload \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03b5\u03bb\u03ad\u03b3\u03c7\u03bf\u03bd\u03c4\u03b1\u03b9 \u03bc\u03b5\u03c4\u03ac \u03c4\u03b7 \u03c3\u03cd\u03bd\u03b8\u03b5\u03c3\u03b7 \u03c4\u03c9\u03bd agents \u03ba\u03b1\u03b9 \u03c0\u03c1\u03b9\u03bd \u03b1\u03c0\u03cc \u03ba\u03ac\u03b8\u03b5 \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03ae \u03b5\u03bd\u03ad\u03c1\u03b3\u03b5\u03b9\u03b1. \u0388\u03c4\u03c3\u03b9 \u03bc\u03b9\u03b1 \u03bb\u03b1\u03bd\u03b8\u03b1\u03c3\u03bc\u03ad\u03bd\u03b7 \u03c0\u03c1\u03cc\u03c4\u03b1\u03c3\u03b7 \u03bc\u03b5\u03c4\u03b1\u03c4\u03c1\u03ad\u03c0\u03b5\u03c4\u03b1\u03b9 \u03c3\u03b5 \u03b5\u03c0\u03b9\u03c3\u03ba\u03b5\u03c5\u03ae \u03ae \u03b1\u03c0\u03cc\u03c1\u03c1\u03b9\u03c8\u03b7, \u03cc\u03c7\u03b9 \u03c3\u03b5 \u03b1\u03bd\u03b5\u03be\u03ad\u03bb\u03b5\u03b3\u03ba\u03c4\u03b7 \u03b5\u03ba\u03c4\u03ad\u03bb\u03b5\u03c3\u03b7.<\/p>\n<\/div>\n<\/div>\n<p>\u0391\u03c5\u03c4\u03cc \u03b5\u03af\u03bd\u03b1\u03b9 \u03c4\u03bf \u03c0\u03b9\u03bf \u03bc\u03b5\u03c4\u03b1\u03c6\u03ad\u03c1\u03c3\u03b9\u03bc\u03bf \u03bc\u03ac\u03b8\u03b7\u03bc\u03b1 \u03b3\u03b9\u03b1 \u03b5\u03c0\u03b9\u03c7\u03b5\u03b9\u03c1\u03b7\u03c3\u03b9\u03b1\u03ba\u03ac agentic workflows. \u0388\u03bd\u03b1\u03c2 agent \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03c0\u03c1\u03bf\u03c4\u03b5\u03af\u03bd\u03b5\u03b9 budget allocation, inventory-aware campaign \u03ae operational routing, \u03b1\u03bb\u03bb\u03ac spend limits, permissions, stock constraints \u03ba\u03b1\u03b9 compliance \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03c0\u03b1\u03c1\u03b1\u03bc\u03ad\u03bd\u03bf\u03c5\u03bd deterministic. \u0397 \u03b1\u03bd\u03ac\u03bb\u03c5\u03c3\u03b7 \u03b3\u03b9\u03b1 \u03c4\u03bf <a href=\"https:\/\/twodots.gr\/agentic-ai-security-stack-controls-technologikes-ependyseis\/\">agentic AI security stack<\/a> \u03b5\u03c6\u03b1\u03c1\u03bc\u03cc\u03b6\u03b5\u03b9 \u03c4\u03b7\u03bd \u03af\u03b4\u03b9\u03b1 \u03bb\u03bf\u03b3\u03b9\u03ba\u03ae \u03c3\u03b5 identities, tools, telemetry \u03ba\u03b1\u03b9 recovery paths.<\/p>\n<p>\u039f validator \u03b4\u03b5\u03bd \u03b1\u03bd\u03c4\u03b9\u03ba\u03b1\u03b8\u03b9\u03c3\u03c4\u03ac \u03c4\u03b1 evals. \u0395\u03bb\u03ad\u03b3\u03c7\u03b5\u03b9 feasibility, \u03cc\u03c7\u03b9 \u03b1\u03bd \u03bf \u03b5\u03c0\u03b9\u03c7\u03b5\u03b9\u03c1\u03b7\u03c3\u03b9\u03b1\u03ba\u03cc\u03c2 \u03c3\u03c4\u03cc\u03c7\u03bf\u03c2 \u03b5\u03af\u03bd\u03b1\u03b9 \u03c3\u03c9\u03c3\u03c4\u03cc\u03c2 \u03ae \u03b1\u03bd \u03c4\u03bf \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf \u03b8\u03b1 \u03b3\u03b5\u03bd\u03b9\u03ba\u03b5\u03cd\u03c3\u03b5\u03b9. \u03a4\u03bf NIST AI RMF \u03b4\u03b9\u03b1\u03c7\u03c9\u03c1\u03af\u03b6\u03b5\u03b9 \u03b1\u03bd\u03c4\u03af\u03c3\u03c4\u03bf\u03b9\u03c7\u03b1 governance, mapping, measurement \u03ba\u03b1\u03b9 management \u03ba\u03b1\u03b9 \u03b6\u03b7\u03c4\u03ac test, evaluation, verification \u03ba\u03b1\u03b9 validation \u03c3\u03b5 \u03c3\u03c5\u03bd\u03b8\u03ae\u03ba\u03b5\u03c2 \u03c0\u03b1\u03c1\u03cc\u03bc\u03bf\u03b9\u03b5\u03c2 \u03bc\u03b5 \u03c4\u03bf \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03cc deployment.<\/p>\n<h2 id=\"peiramatiki-diataxi\">\u03a4\u03b9 \u03b1\u03ba\u03c1\u03b9\u03b2\u03ce\u03c2 \u03b4\u03bf\u03ba\u03b9\u03bc\u03ac\u03c3\u03c4\u03b7\u03ba\u03b5<\/h2>\n<p>\u03a4\u03bf testbed \u03c7\u03c1\u03b7\u03c3\u03b9\u03bc\u03bf\u03c0\u03bf\u03af\u03b7\u03c3\u03b5 CIFAR-10 \u03bc\u03b5 non-IID \u03ba\u03b1\u03c4\u03b1\u03bd\u03bf\u03bc\u03ae \u03ba\u03b1\u03b9 CNN 545.098 \u03c0\u03b1\u03c1\u03b1\u03bc\u03ad\u03c4\u03c1\u03c9\u03bd. \u0397 \u03b5\u03ba\u03c0\u03b1\u03af\u03b4\u03b5\u03c5\u03c3\u03b7 \u03ad\u03c4\u03c1\u03b5\u03be\u03b5 \u03ad\u03c9\u03c2 50 \u03b3\u03cd\u03c1\u03bf\u03c5\u03c2 \u03bc\u03b5 early stopping, SGD learning rate 0,01, momentum 0,9 \u03ba\u03b1\u03b9 batch size 32. \u0394\u03bf\u03ba\u03b9\u03bc\u03ac\u03c3\u03c4\u03b7\u03ba\u03b1\u03bd \u03b4\u03cd\u03bf \u03c3\u03b5\u03bd\u03ac\u03c1\u03b9\u03b1 \u03bc\u03b5 30 clients: \u03c3\u03c4\u03bf hard scenario, 12 clients \u03b5\u03af\u03c7\u03b1\u03bd \u03c7\u03b1\u03bc\u03b7\u03bb\u03ae \u03bc\u03c0\u03b1\u03c4\u03b1\u03c1\u03af\u03b1 \u03ba\u03b1\u03b9 \u03b7 \u03ba\u03b1\u03c4\u03b1\u03bd\u03bf\u03bc\u03ae \u03b4\u03b5\u03b4\u03bf\u03bc\u03ad\u03bd\u03c9\u03bd \u03b5\u03af\u03c7\u03b5 Dirichlet \u03b1=0,3\u00b7 \u03c3\u03c4\u03bf extreme, \u03bf\u03b9 low-battery clients \u03ae\u03c4\u03b1\u03bd 18 \u03ba\u03b1\u03b9 \u03c4\u03bf \u03b1=0,1 \u03b4\u03b7\u03bc\u03b9\u03bf\u03c5\u03c1\u03b3\u03bf\u03cd\u03c3\u03b5 \u03b5\u03bd\u03c4\u03bf\u03bd\u03cc\u03c4\u03b5\u03c1\u03bf label skew.<\/p>\n<p>\u039a\u03ac\u03b8\u03b5 \u03c3\u03c5\u03bd\u03b4\u03c5\u03b1\u03c3\u03bc\u03cc\u03c2 \u03c3\u03c4\u03c1\u03b1\u03c4\u03b7\u03b3\u03b9\u03ba\u03ae\u03c2, \u03c3\u03b5\u03bd\u03b1\u03c1\u03af\u03bf\u03c5 \u03ba\u03b1\u03b9 backend \u03b1\u03be\u03b9\u03bf\u03bb\u03bf\u03b3\u03ae\u03b8\u03b7\u03ba\u03b5 \u03c3\u03b5 \u03c4\u03c1\u03af\u03b1 seeds: 42, 123 \u03ba\u03b1\u03b9 456. \u0397 \u03bc\u03b5\u03bb\u03ad\u03c4\u03b7 \u03c3\u03c5\u03bd\u03ad\u03ba\u03c1\u03b9\u03bd\u03b5 FedAvg, FedProx, FedNova, q-FedAvg, FedLE \u03ba\u03b1\u03b9 \u03b5\u03c0\u03b9\u03c0\u03bb\u03ad\u03bf\u03bd rule-based \u03ae pipeline baselines \u03bc\u03b5 \u03c4\u03c1\u03b5\u03b9\u03c2 \u03c0\u03b1\u03c1\u03b1\u03bb\u03bb\u03b1\u03b3\u03ad\u03c2 \u03c4\u03bf\u03c5 FL-MAESTRO: Single, Independent \u03ba\u03b1\u03b9 Coupled.<\/p>\n<p>\u039f\u03b9 agents \u03c5\u03bb\u03bf\u03c0\u03bf\u03b9\u03ae\u03b8\u03b7\u03ba\u03b1\u03bd \u03bc\u03b5 CAMEL-AI \u03ba\u03b1\u03b9 \u03b4\u03bf\u03ba\u03b9\u03bc\u03ac\u03c3\u03c4\u03b7\u03ba\u03b1\u03bd \u03bc\u03b5 GPT-4.1-mini \u03bc\u03ad\u03c3\u03c9 API \u03ba\u03b1\u03b9 \u03bc\u03b5 \u03c4\u03bf open-weight Qwen3.5-35b \u03c4\u03bf\u03c0\u03b9\u03ba\u03ac \u03bc\u03ad\u03c3\u03c9 Ollama \u03c3\u03b5 NVIDIA DGX Spark \u03bc\u03b5 128 GB unified memory. \u0397 FL \u03b5\u03ba\u03c0\u03b1\u03af\u03b4\u03b5\u03c5\u03c3\u03b7 \u03ba\u03b1\u03b9 \u03b7 \u03b5\u03bd\u03b5\u03c1\u03b3\u03b5\u03b9\u03b1\u03ba\u03ae \u03bb\u03bf\u03b3\u03b9\u03c3\u03c4\u03b9\u03ba\u03ae \u03ad\u03b3\u03b9\u03bd\u03b1\u03bd \u03c3\u03b5 simulation \u03c0\u03ac\u03bd\u03c9 \u03c3\u03b5 desktop workstation\u00b7 \u03c4\u03bf \u03b5\u03b9\u03b4\u03b9\u03ba\u03cc hardware \u03c7\u03c1\u03b7\u03c3\u03b9\u03bc\u03bf\u03c0\u03bf\u03b9\u03ae\u03b8\u03b7\u03ba\u03b5 \u03bc\u03cc\u03bd\u03bf \u03b3\u03b9\u03b1 local LLM inference.<\/p>\n<h2 id=\"arithmitika-apotelesmata\">\u03a4\u03b1 \u03b1\u03c1\u03b9\u03b8\u03bc\u03b7\u03c4\u03b9\u03ba\u03ac \u03b1\u03c0\u03bf\u03c4\u03b5\u03bb\u03ad\u03c3\u03bc\u03b1\u03c4\u03b1 \u03ba\u03b1\u03b9 \u03b7 \u03c3\u03c9\u03c3\u03c4\u03ae \u03b1\u03bd\u03ac\u03b3\u03bd\u03c9\u03c3\u03ae \u03c4\u03bf\u03c5\u03c2<\/h2>\n<p>\u03a3\u03c4\u03bf\u03bd \u03ba\u03cd\u03c1\u03b9\u03bf \u03c0\u03af\u03bd\u03b1\u03ba\u03b1 \u03bc\u03b5 GPT-4.1-mini, \u03c4\u03bf FLM-Coupled \u03c0\u03ad\u03c4\u03c5\u03c7\u03b5 best accuracy 0,657 \u03c3\u03c4\u03bf hard \u03ba\u03b1\u03b9 0,615 \u03c3\u03c4\u03bf extreme scenario, \u03bc\u03b5 wasted energy 3,9% \u03ba\u03b1\u03b9 0,2% \u03b1\u03bd\u03c4\u03af\u03c3\u03c4\u03bf\u03b9\u03c7\u03b1. \u03a4\u03bf FedAvg \u03ba\u03b1\u03c4\u03ad\u03b3\u03c1\u03b1\u03c8\u03b5 accuracy 0,639 \u03ba\u03b1\u03b9 0,581, \u03b1\u03bb\u03bb\u03ac wasted energy 33,5% \u03ba\u03b1\u03b9 42,6%. \u03a4\u03bf FLM-Independent \u03ad\u03c6\u03c4\u03b1\u03c3\u03b5 \u03b1\u03ba\u03c1\u03b9\u03b2\u03ce\u03c2 0% waste \u03ba\u03b1\u03b9 failures \u03c3\u03c4\u03bf\u03bd \u03c3\u03c5\u03b3\u03ba\u03b5\u03ba\u03c1\u03b9\u03bc\u03ad\u03bd\u03bf \u03c0\u03af\u03bd\u03b1\u03ba\u03b1, \u03bc\u03b5 accuracy 0,651 \u03ba\u03b1\u03b9 0,589.<\/p>\n<div class=\"td-chart td-chart--metrics\">\n<div class=\"td-chart-head\">\n<p class=\"td-chart-title\">Wasted round energy \u03c3\u03c4\u03bf\u03bd \u03ba\u03cd\u03c1\u03b9\u03bf \u03c0\u03af\u03bd\u03b1\u03ba\u03b1<\/p>\n<p class=\"td-chart-subtitle\">\u03a4\u03b9\u03bc\u03ad\u03c2 \u03c4\u03bf\u03c5 GPT-4.1-mini testbed \u03b3\u03b9\u03b1 \u03ad\u03bd\u03b1 hard \u03ba\u03b1\u03b9 \u03ad\u03bd\u03b1 extreme scenario\u00b7 \u03b5\u03af\u03bd\u03b1\u03b9 \u03b1\u03c0\u03bf\u03c4\u03b5\u03bb\u03ad\u03c3\u03bc\u03b1\u03c4\u03b1 simulation 30 clients, \u03cc\u03c7\u03b9 production benchmark \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03ce\u03bd \u03c3\u03c5\u03c3\u03ba\u03b5\u03c5\u03ce\u03bd.<\/p>\n<\/div>\n<div class=\"td-chart-body\">\n<div class=\"td-metric-grid\">\n<div class=\"td-metric-card\"><span class=\"td-metric-value\">33,5%<\/span><span class=\"td-metric-label\">FedAvg \u00b7 hard<\/span><\/div>\n<div class=\"td-metric-card\"><span class=\"td-metric-value\">3,9%<\/span><span class=\"td-metric-label\">FLM-Coupled \u00b7 hard<\/span><\/div>\n<div class=\"td-metric-card\"><span class=\"td-metric-value\">42,6%<\/span><span class=\"td-metric-label\">FedAvg \u00b7 extreme<\/span><\/div>\n<div class=\"td-metric-card\"><span class=\"td-metric-value\">0,2%<\/span><span class=\"td-metric-label\">FLM-Coupled \u00b7 extreme<\/span><\/div>\n<\/div>\n<\/div>\n<\/div>\n<p>\u0397 Independent \u03b5\u03ba\u03b4\u03bf\u03c7\u03ae \u03b1\u03bd\u03c4\u03b9\u03c0\u03c1\u03bf\u03c3\u03c9\u03c0\u03b5\u03cd\u03b5\u03b9 \u03c4\u03bf \u03ac\u03ba\u03c1\u03bf \u03c4\u03b7\u03c2 \u03b5\u03bd\u03b5\u03c1\u03b3\u03b5\u03b9\u03b1\u03ba\u03ae\u03c2 \u03b1\u03c3\u03c6\u03ac\u03bb\u03b5\u03b9\u03b1\u03c2: \u03b1\u03c0\u03bf\u03ba\u03bb\u03b5\u03af\u03b5\u03b9 \u03cc\u03bb\u03bf\u03c5\u03c2 \u03c4\u03bf\u03c5\u03c2 predicted failures \u03ba\u03b1\u03b9 \u03c0\u03b5\u03c4\u03c5\u03c7\u03b1\u03af\u03bd\u03b5\u03b9 \u03bc\u03b7\u03b4\u03b5\u03bd\u03b9\u03ba\u03ae \u03c3\u03c0\u03b1\u03c4\u03ac\u03bb\u03b7, \u03b1\u03bb\u03bb\u03ac \u03b1\u03c6\u03ae\u03bd\u03b5\u03b9 \u03bc\u03b9\u03ba\u03c1\u03cc \u03ba\u03b5\u03bd\u03cc \u03b1\u03ba\u03c1\u03af\u03b2\u03b5\u03b9\u03b1\u03c2. \u0397 Coupled \u03b5\u03ba\u03b4\u03bf\u03c7\u03ae \u03c4\u03bf\u03c0\u03bf\u03b8\u03b5\u03c4\u03b5\u03af\u03c4\u03b1\u03b9 \u03b1\u03bb\u03bb\u03bf\u03cd \u03c3\u03c4\u03bf trade-off, \u03bc\u03b5 \u03c5\u03c8\u03b7\u03bb\u03cc\u03c4\u03b5\u03c1\u03b7 best accuracy \u03ba\u03b1\u03b9 \u03bc\u03b9\u03ba\u03c1\u03ae, \u03cc\u03c7\u03b9 \u03c0\u03ac\u03bd\u03c4\u03b1 \u03bc\u03b7\u03b4\u03b5\u03bd\u03b9\u03ba\u03ae, wasted energy. \u0397 \u03b5\u03c0\u03b9\u03bb\u03bf\u03b3\u03ae \u03b4\u03b5\u03bd \u03b5\u03af\u03bd\u03b1\u03b9 \u00ab\u03ba\u03b1\u03bb\u03cd\u03c4\u03b5\u03c1\u03bf\u03c2 \u03b1\u03c1\u03b9\u03b8\u03bc\u03cc\u03c2\u00bb \u03b3\u03b5\u03bd\u03b9\u03ba\u03ac\u00b7 \u03b5\u03be\u03b1\u03c1\u03c4\u03ac\u03c4\u03b1\u03b9 \u03b1\u03c0\u03cc \u03c4\u03bf \u03ba\u03cc\u03c3\u03c4\u03bf\u03c2 \u03bc\u03b9\u03b1\u03c2 \u03b1\u03c0\u03bf\u03c4\u03c5\u03c7\u03af\u03b1\u03c2 \u03ba\u03b1\u03b9 \u03c4\u03b7\u03bd \u03b1\u03be\u03af\u03b1 \u03c4\u03bf\u03c5 \u03c0\u03c1\u03cc\u03c3\u03b8\u03b5\u03c4\u03bf\u03c5 update.<\/p>\n<aside class=\"td-article-note\">\n<p><strong>Best run \u03b4\u03b5\u03bd \u03c3\u03b7\u03bc\u03b1\u03af\u03bd\u03b5\u03b9 \u03b1\u03c0\u03bf\u03b4\u03b5\u03b4\u03b5\u03b9\u03b3\u03bc\u03ad\u03bd\u03b7 \u03c5\u03c0\u03b5\u03c1\u03bf\u03c7\u03ae.<\/strong> \u03a3\u03c4\u03bf extreme scenario, \u03bf \u03c4\u03c1\u03b9\u03ce\u03bd-seed \u03bc\u03ad\u03c3\u03bf\u03c2 \u03cc\u03c1\u03bf\u03c2 best accuracy \u03ae\u03c4\u03b1\u03bd 0,600 \u03b3\u03b9\u03b1 FLM-Coupled \u03bc\u03b5 GPT-4.1-mini \u03ba\u03b1\u03b9 0,572 \u03bc\u03b5 Qwen3.5-35b. \u03a4\u03bf paired one-sided test \u03ad\u03b4\u03c9\u03c3\u03b5 t=0,32 \u03ba\u03b1\u03b9 p=0,39, \u03bc\u03b5 95% confidence interval \u03c0\u03bf\u03c5 \u03c0\u03b5\u03c1\u03bd\u03bf\u03cd\u03c3\u03b5 \u03bf\u03c1\u03b9\u03b1\u03ba\u03ac \u03b1\u03c0\u03cc \u03c4\u03bf \u03bc\u03b7\u03b4\u03ad\u03bd.<\/p>\n<\/aside>\n<p>\u039f\u03b9 \u03c3\u03c5\u03b3\u03b3\u03c1\u03b1\u03c6\u03b5\u03af\u03c2 \u03bc\u03b9\u03bb\u03bf\u03cd\u03bd \u03c3\u03c9\u03c3\u03c4\u03ac \u03b3\u03b9\u03b1 \u03ba\u03b1\u03c4\u03b5\u03c5\u03b8\u03c5\u03bd\u03c4\u03b9\u03ba\u03ae \u03c3\u03c5\u03bd\u03ad\u03c0\u03b5\u03b9\u03b1 \u03ba\u03b1\u03b9 \u03cc\u03c7\u03b9 \u03b3\u03b9\u03b1 \u03c3\u03c4\u03b1\u03c4\u03b9\u03c3\u03c4\u03b9\u03ba\u03ac \u03c3\u03b7\u03bc\u03b1\u03bd\u03c4\u03b9\u03ba\u03ae \u03c5\u03c0\u03b5\u03c1\u03bf\u03c7\u03ae. \u039c\u03b5 \u03c4\u03c1\u03af\u03b1 seeds, \u03ad\u03bd\u03b1 dataset \u03ba\u03b1\u03b9 \u03b5\u03bb\u03b5\u03b3\u03c7\u03cc\u03bc\u03b5\u03bd\u03b7 \u03b5\u03bd\u03b5\u03c1\u03b3\u03b5\u03b9\u03b1\u03ba\u03ae \u03c0\u03c1\u03bf\u03c3\u03bf\u03bc\u03bf\u03af\u03c9\u03c3\u03b7, \u03b7 \u03c4\u03b5\u03c7\u03bd\u03b9\u03ba\u03ae \u03b1\u03be\u03af\u03b1 \u03b2\u03c1\u03af\u03c3\u03ba\u03b5\u03c4\u03b1\u03b9 \u03c3\u03c4\u03bf design pattern \u03ba\u03b1\u03b9 \u03c3\u03c4\u03b1 \u03c3\u03b1\u03c6\u03ae trade-offs. \u0397 <a href=\"https:\/\/twodots.gr\/peace-framework-psifiakes-paremvaseis\/\">\u03c0\u03bf\u03bb\u03c5\u03ba\u03c1\u03b9\u03c4\u03b7\u03c1\u03b9\u03b1\u03ba\u03ae \u03bb\u03bf\u03b3\u03b9\u03ba\u03ae \u03c4\u03bf\u03c5 PEACE framework<\/a> \u03b5\u03af\u03bd\u03b1\u03b9 \u03c7\u03c1\u03ae\u03c3\u03b9\u03bc\u03b7 \u03b5\u03b4\u03ce: accuracy, waste, failures, latency, \u03ba\u03cc\u03c3\u03c4\u03bf\u03c2 inference \u03ba\u03b1\u03b9 \u03bb\u03b5\u03b9\u03c4\u03bf\u03c5\u03c1\u03b3\u03b9\u03ba\u03cc effort \u03b4\u03b5\u03bd \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03c3\u03c5\u03bc\u03c0\u03c4\u03cd\u03c3\u03c3\u03bf\u03bd\u03c4\u03b1\u03b9 \u03c3\u03b5 \u03ad\u03bd\u03b1\u03bd \u03b2\u03bf\u03bb\u03b9\u03ba\u03cc \u03bc\u03ad\u03c3\u03bf \u03cc\u03c1\u03bf.<\/p>\n<h2 id=\"elachisti-synergasia\">\u0393\u03b9\u03b1\u03c4\u03af \u03c0\u03b5\u03c1\u03b9\u03c3\u03c3\u03cc\u03c4\u03b5\u03c1\u03b7 \u03c3\u03c5\u03b6\u03ae\u03c4\u03b7\u03c3\u03b7 \u03b4\u03b5\u03bd \u03ad\u03c6\u03b5\u03c1\u03b5 \u03ba\u03ad\u03c1\u03b4\u03bf\u03c2<\/h2>\n<p>\u0397 \u03bc\u03b5\u03bb\u03ad\u03c4\u03b7 \u03c3\u03c5\u03b3\u03ba\u03c1\u03af\u03bd\u03b5\u03b9 \u03ad\u03bd\u03b1\u03bd generalist agent, \u03c4\u03c1\u03b5\u03b9\u03c2 \u03b1\u03bd\u03b5\u03be\u03ac\u03c1\u03c4\u03b7\u03c4\u03bf\u03c5\u03c2 specialists \u03ba\u03b1\u03b9 \u03bc\u03b9\u03b1 coupled \u03bf\u03bc\u03ac\u03b4\u03b1. \u0394\u03bf\u03ba\u03b9\u03bc\u03ac\u03b6\u03b5\u03b9 \u03b5\u03c0\u03af\u03c3\u03b7\u03c2 negotiation \u03ba\u03b1\u03b9 multi-threshold failure probing. \u039f\u03b9 \u03c0\u03b9\u03bf \u03c3\u03cd\u03bd\u03b8\u03b5\u03c4\u03b5\u03c2 \u03c0\u03b1\u03c1\u03b1\u03bb\u03bb\u03b1\u03b3\u03ad\u03c2 FLM-Coupled+A, +B \u03ba\u03b1\u03b9 ++ \u03b4\u03b5\u03bd \u03ad\u03b4\u03c9\u03c3\u03b1\u03bd \u03bc\u03b5\u03c4\u03c1\u03ae\u03c3\u03b9\u03bc\u03bf accuracy gain \u03c3\u03c4\u03bf testbed.<\/p>\n<p>\u0397 \u03b5\u03c1\u03bc\u03b7\u03bd\u03b5\u03af\u03b1 \u03b5\u03af\u03bd\u03b1\u03b9 \u03b5\u03cd\u03bb\u03bf\u03b3\u03b7: \u03c4\u03bf action space \u03b5\u03af\u03bd\u03b1\u03b9 typed JSON, \u03c4\u03b1 \u03b5\u03c1\u03b3\u03b1\u03bb\u03b5\u03af\u03b1 \u03b4\u03af\u03bd\u03bf\u03c5\u03bd \u03c3\u03c5\u03b3\u03ba\u03b5\u03ba\u03c1\u03b9\u03bc\u03ad\u03bd\u03b5\u03c2 \u03b5\u03ba\u03c4\u03b9\u03bc\u03ae\u03c3\u03b5\u03b9\u03c2 \u03ba\u03cc\u03c3\u03c4\u03bf\u03c5\u03c2 \u03ba\u03b1\u03b9 \u03bf validator \u03b5\u03bb\u03ad\u03b3\u03c7\u03b5\u03b9 feasibility. \u0394\u03b5\u03bd \u03bc\u03ad\u03bd\u03b5\u03b9 \u03b1\u03c1\u03ba\u03b5\u03c4\u03ae \u03b1\u03bd\u03bf\u03b9\u03c7\u03c4\u03ae \u03b1\u03b2\u03b5\u03b2\u03b1\u03b9\u03cc\u03c4\u03b7\u03c4\u03b1 \u03ce\u03c3\u03c4\u03b5 \u03c0\u03b5\u03c1\u03b9\u03c3\u03c3\u03cc\u03c4\u03b5\u03c1\u03bf debate \u03bd\u03b1 \u03c0\u03c1\u03bf\u03c3\u03c6\u03ad\u03c1\u03b5\u03b9 \u03c3\u03c4\u03b1\u03b8\u03b5\u03c1\u03ae \u03b1\u03be\u03af\u03b1. \u039f \u03c3\u03c5\u03bd\u03c4\u03bf\u03bd\u03b9\u03c3\u03bc\u03cc\u03c2 \u03c3\u03c5\u03bd\u03ad\u03ba\u03bb\u03b9\u03bd\u03b5 \u03ba\u03b1\u03c4\u03ac \u03bc\u03ad\u03c3\u03bf \u03cc\u03c1\u03bf \u03c3\u03b5 2,0 analysis rounds \u03b1\u03bd\u03ac FL round, \u03bc\u03ad\u03c3\u03b1 \u03c3\u03b5 \u03c0\u03b1\u03c1\u03ac\u03b8\u03c5\u03c1\u03bf orchestration 20 \u03ad\u03c9\u03c2 90 \u03b4\u03b5\u03c5\u03c4\u03b5\u03c1\u03bf\u03bb\u03ad\u03c0\u03c4\u03c9\u03bd \u03c3\u03c4\u03b1 \u03b4\u03cd\u03bf backends.<\/p>\n<p>\u03a4\u03bf \u03b5\u03cd\u03c1\u03b7\u03bc\u03b1 \u03b4\u03b5\u03bd \u03b3\u03b5\u03bd\u03b9\u03ba\u03b5\u03cd\u03b5\u03c4\u03b1\u03b9 \u03c3\u03b5 \u03ba\u03ac\u03b8\u03b5 multi-agent \u03c3\u03cd\u03c3\u03c4\u03b7\u03bc\u03b1. \u0395\u03af\u03bd\u03b1\u03b9 \u03cc\u03bc\u03c9\u03c2 \u03c7\u03c1\u03ae\u03c3\u03b9\u03bc\u03bf \u03b1\u03bd\u03c4\u03af\u03b4\u03bf\u03c4\u03bf \u03c3\u03c4\u03b7\u03bd \u03c4\u03ac\u03c3\u03b7 \u03bd\u03b1 \u03c0\u03c1\u03bf\u03c3\u03b8\u03ad\u03c4\u03bf\u03c5\u03bc\u03b5 \u03c1\u03cc\u03bb\u03bf\u03c5\u03c2 \u03ba\u03b1\u03b9 \u03b3\u03cd\u03c1\u03bf\u03c5\u03c2 \u03b5\u03c0\u03b5\u03b9\u03b4\u03ae \u03c6\u03b1\u03af\u03bd\u03bf\u03bd\u03c4\u03b1\u03b9 \u03b5\u03bd\u03c4\u03c5\u03c0\u03c9\u03c3\u03b9\u03b1\u03ba\u03bf\u03af. \u038c\u03c0\u03c9\u03c2 \u03b4\u03b5\u03af\u03c7\u03bd\u03b5\u03b9 \u03ba\u03b1\u03b9 \u03b7 \u03c0\u03c1\u03b1\u03ba\u03c4\u03b9\u03ba\u03ae \u03b1\u03bd\u03ac\u03bb\u03c5\u03c3\u03b7 \u03b3\u03b9\u03b1 <a href=\"https:\/\/twodots.gr\/ai-agents-paragogi-leitourgikes-astochies\/\">AI agents \u03c3\u03c4\u03b7\u03bd \u03c0\u03b1\u03c1\u03b1\u03b3\u03c9\u03b3\u03ae<\/a>, \u03b7 \u03b1\u03be\u03b9\u03bf\u03c0\u03b9\u03c3\u03c4\u03af\u03b1 \u03bc\u03b5\u03c4\u03c1\u03b9\u03ad\u03c4\u03b1\u03b9 \u03c3\u03c4\u03bf \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03cc running state, \u03c3\u03c4\u03b1 \u03b4\u03b9\u03b1\u03b8\u03ad\u03c3\u03b9\u03bc\u03b1 inputs \u03ba\u03b1\u03b9 \u03c3\u03c4\u03bf \u03ad\u03b3\u03ba\u03c5\u03c1\u03bf \u03c0\u03b1\u03c1\u03b1\u03b4\u03bf\u03c4\u03ad\u03bf \u2014 \u03cc\u03c7\u03b9 \u03c3\u03c4\u03bf\u03bd \u03b1\u03c1\u03b9\u03b8\u03bc\u03cc \u03c4\u03c9\u03bd prompts.<\/p>\n<h2 id=\"open-weight-data-residency\">Open-weight \u03bb\u03b5\u03b9\u03c4\u03bf\u03c5\u03c1\u03b3\u03af\u03b1 \u03ba\u03b1\u03b9 data residency<\/h2>\n<p>\u0397 \u03b1\u03bd\u03b1\u03c0\u03b1\u03c1\u03b1\u03b3\u03c9\u03b3\u03ae \u03bc\u03b5 Qwen3.5-35b \u03b4\u03b5\u03af\u03c7\u03bd\u03b5\u03b9 \u03cc\u03c4\u03b9 \u03c4\u03bf \u03c3\u03cd\u03c3\u03c4\u03b7\u03bc\u03b1 \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03bb\u03b5\u03b9\u03c4\u03bf\u03c5\u03c1\u03b3\u03ae\u03c3\u03b5\u03b9 \u03c7\u03c9\u03c1\u03af\u03c2 \u03c5\u03c0\u03bf\u03c7\u03c1\u03b5\u03c9\u03c4\u03b9\u03ba\u03ae cloud LLM \u03b5\u03be\u03ac\u03c1\u03c4\u03b7\u03c3\u03b7. \u0397 \u03c0\u03bf\u03b9\u03bf\u03c4\u03b9\u03ba\u03ae \u03c3\u03b5\u03b9\u03c1\u03ac Coupled, Independent \u03ba\u03b1\u03b9 Single \u03b4\u03b9\u03b1\u03c4\u03b7\u03c1\u03ae\u03b8\u03b7\u03ba\u03b5, \u03b5\u03bd\u03ce \u03c4\u03bf Independent \u03ba\u03c1\u03ac\u03c4\u03b7\u03c3\u03b5 \u03c4\u03b1 zero-waste \u03ba\u03b1\u03b9 zero-failure invariants \u03ba\u03b1\u03b9 \u03c3\u03c4\u03b1 \u03ad\u03be\u03b9 \u03c4\u03c1\u03b9\u03ce\u03bd-seed cells. \u0391\u03c5\u03c4\u03cc \u03c5\u03c0\u03bf\u03c3\u03c4\u03b7\u03c1\u03af\u03b6\u03b5\u03b9 \u03c4\u03b7\u03bd \u03c4\u03b5\u03c7\u03bd\u03b9\u03ba\u03ae \u03b4\u03c5\u03bd\u03b1\u03c4\u03cc\u03c4\u03b7\u03c4\u03b1 on-premises orchestration \u03cc\u03c4\u03b1\u03bd data residency, latency \u03ae \u03ad\u03bb\u03b5\u03b3\u03c7\u03bf\u03c2 \u03c5\u03c0\u03bf\u03b4\u03bf\u03bc\u03ae\u03c2 \u03c4\u03bf \u03b1\u03c0\u03b1\u03b9\u03c4\u03bf\u03cd\u03bd.<\/p>\n<p>\u0394\u03b5\u03bd \u03b1\u03c0\u03bf\u03b4\u03b5\u03b9\u03ba\u03bd\u03cd\u03b5\u03b9 \u03c0\u03bb\u03ae\u03c1\u03b7 \u03b9\u03c3\u03bf\u03b4\u03c5\u03bd\u03b1\u03bc\u03af\u03b1 \u03c4\u03c9\u03bd backends. \u03a3\u03c4\u03bf extreme scenario, \u03bf \u03bc\u03ad\u03c3\u03bf\u03c2 best-accuracy \u03b1\u03c1\u03b9\u03b8\u03bc\u03cc\u03c2 \u03c4\u03bf\u03c5 Coupled \u03ae\u03c4\u03b1\u03bd 0,600 \u03bc\u03b5 GPT-4.1-mini \u03ba\u03b1\u03b9 0,572 \u03bc\u03b5 Qwen3.5-35b. \u0395\u03c0\u03b9\u03c0\u03bb\u03ad\u03bf\u03bd, \u03c4\u03bf repository \u03c0\u03c1\u03bf\u03b5\u03b9\u03b4\u03bf\u03c0\u03bf\u03b9\u03b5\u03af \u03cc\u03c4\u03b9 \u03bf\u03b9 specialists \u03c7\u03c1\u03b5\u03b9\u03ac\u03b6\u03bf\u03bd\u03c4\u03b1\u03b9 \u03b1\u03be\u03b9\u03cc\u03c0\u03b9\u03c3\u03c4\u03bf tool calling\u00b7 \u03bc\u03b9\u03ba\u03c1\u03cc\u03c4\u03b5\u03c1\u03b1 local models \u03c0\u03bf\u03c5 \u03b4\u03b5\u03bd \u03b5\u03ba\u03c0\u03ad\u03bc\u03c0\u03bf\u03c5\u03bd \u03c3\u03c9\u03c3\u03c4\u03ad\u03c2 function calls \u03c0\u03b1\u03c1\u03ac\u03b3\u03bf\u03c5\u03bd \u03bc\u03b7 \u03b1\u03be\u03b9\u03bf\u03c0\u03bf\u03b9\u03ae\u03c3\u03b9\u03bc\u03b1 analyses.<\/p>\n<p>\u03a4\u03b1 natural-text profiles \u03c4\u03c9\u03bd clients \u03c0\u03c1\u03bf\u03c4\u03b5\u03af\u03bd\u03bf\u03bd\u03c4\u03b1\u03b9 \u03c9\u03c2 \u03c4\u03c1\u03cc\u03c0\u03bf\u03c2 \u03c5\u03c0\u03bf\u03c3\u03c4\u03ae\u03c1\u03b9\u03be\u03b7\u03c2 \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03b5\u03c4\u03b9\u03ba\u03ce\u03bd device classes \u03c7\u03c9\u03c1\u03af\u03c2 \u03be\u03b5\u03c7\u03c9\u03c1\u03b9\u03c3\u03c4\u03cc schema \u03ba\u03b1\u03b9 energy model \u03b1\u03bd\u03ac \u03ba\u03b1\u03c4\u03b7\u03b3\u03bf\u03c1\u03af\u03b1. \u038c\u03bc\u03c9\u03c2 \u03b1\u03c5\u03c4\u03cc \u03c0\u03b1\u03c1\u03b1\u03bc\u03ad\u03bd\u03b5\u03b9 \u03b1\u03c1\u03c7\u03b9\u03c4\u03b5\u03ba\u03c4\u03bf\u03bd\u03b9\u03ba\u03cc \u03b5\u03c0\u03b9\u03c7\u03b5\u03af\u03c1\u03b7\u03bc\u03b1: \u03c4\u03bf \u03bc\u03b5\u03c4\u03c1\u03b7\u03bc\u03ad\u03bd\u03bf testbed \u03c7\u03c1\u03b7\u03c3\u03b9\u03bc\u03bf\u03c0\u03bf\u03af\u03b7\u03c3\u03b5 \u03b5\u03bd\u03b9\u03b1\u03af\u03bf schema. \u0397 \u03bc\u03b5\u03c4\u03ac\u03b2\u03b1\u03c3\u03b7 \u03c3\u03b5 \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03cc hardware \u03c7\u03c1\u03b5\u03b9\u03ac\u03b6\u03b5\u03c4\u03b1\u03b9 unit normalization, telemetry contracts, missing-data policy \u03ba\u03b1\u03b9 validation \u03cc\u03c4\u03b9 \u03bf\u03b9 \u03bb\u03b5\u03ba\u03c4\u03b9\u03ba\u03ad\u03c2 \u03c0\u03b5\u03c1\u03b9\u03b3\u03c1\u03b1\u03c6\u03ad\u03c2 \u03b4\u03b5\u03bd \u03ba\u03c1\u03cd\u03b2\u03bf\u03c5\u03bd \u03b1\u03c3\u03c5\u03bd\u03ad\u03c0\u03b5\u03b9\u03b5\u03c2.<\/p>\n<h2 id=\"praktiki-efarmogi\">\u03a4\u03b9 \u03bc\u03c0\u03bf\u03c1\u03bf\u03cd\u03bd \u03bd\u03b1 \u03ba\u03c1\u03b1\u03c4\u03ae\u03c3\u03bf\u03c5\u03bd \u03b5\u03c0\u03b9\u03c7\u03b5\u03b9\u03c1\u03ae\u03c3\u03b5\u03b9\u03c2 \u03ba\u03b1\u03b9 digital teams<\/h2>\n<p>\u03a4\u03bf \u03c0\u03c1\u03ce\u03c4\u03bf \u03bc\u03ac\u03b8\u03b7\u03bc\u03b1 \u03b5\u03af\u03bd\u03b1\u03b9 \u03bd\u03b1 \u03bf\u03c1\u03b3\u03b1\u03bd\u03ce\u03bd\u03bf\u03c5\u03bd \u03c4\u03b9\u03c2 agentic \u03b1\u03c0\u03bf\u03c6\u03ac\u03c3\u03b5\u03b9\u03c2 \u03b3\u03cd\u03c1\u03c9 \u03b1\u03c0\u03cc \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03ad\u03c2 \u03b5\u03be\u03b1\u03c1\u03c4\u03ae\u03c3\u03b5\u03b9\u03c2. \u03a3\u03b5 e-commerce, \u03b7 \u03c0\u03c1\u03bf\u03c3\u03c6\u03bf\u03c1\u03ac \u03b4\u03b5\u03bd \u03b5\u03af\u03bd\u03b1\u03b9 \u03b1\u03bd\u03b5\u03be\u03ac\u03c1\u03c4\u03b7\u03c4\u03b7 \u03b1\u03c0\u03cc \u03c4\u03bf \u03c0\u03b5\u03c1\u03b9\u03b8\u03ce\u03c1\u03b9\u03bf, \u03b7 \u03c0\u03c1\u03bf\u03b2\u03bf\u03bb\u03ae \u03b4\u03b5\u03bd \u03b5\u03af\u03bd\u03b1\u03b9 \u03b1\u03bd\u03b5\u03be\u03ac\u03c1\u03c4\u03b7\u03c4\u03b7 \u03b1\u03c0\u03cc \u03c4\u03bf stock \u03ba\u03b1\u03b9 \u03b7 \u03c5\u03c0\u03cc\u03c3\u03c7\u03b5\u03c3\u03b7 \u03c0\u03b1\u03c1\u03ac\u03b4\u03bf\u03c3\u03b7\u03c2 \u03b4\u03b5\u03bd \u03b5\u03af\u03bd\u03b1\u03b9 \u03b1\u03bd\u03b5\u03be\u03ac\u03c1\u03c4\u03b7\u03c4\u03b7 \u03b1\u03c0\u03cc \u03c4\u03b1 logistics. \u03a3\u03b5 marketing operations, campaign budget, audience eligibility \u03ba\u03b1\u03b9 channel capacity \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03c0\u03b5\u03c1\u03ac\u03c3\u03bf\u03c5\u03bd \u03c3\u03c4\u03b7\u03bd \u03af\u03b4\u03b9\u03b1 \u03b1\u03c0\u03cc\u03c6\u03b1\u03c3\u03b7 \u03ae \u03c3\u03b5 \u03c3\u03c5\u03bc\u03b2\u03b1\u03c4\u03ad\u03c2 \u03b1\u03c0\u03bf\u03c6\u03ac\u03c3\u03b5\u03b9\u03c2 \u03bc\u03b5 \u03ba\u03bf\u03b9\u03bd\u03ac constraints.<\/p>\n<p>\u03a4\u03bf \u03b4\u03b5\u03cd\u03c4\u03b5\u03c1\u03bf \u03bc\u03ac\u03b8\u03b7\u03bc\u03b1 \u03b5\u03af\u03bd\u03b1\u03b9 \u03bd\u03b1 \u03be\u03b5\u03c7\u03c9\u03c1\u03af\u03b6\u03bf\u03c5\u03bd \u03c4\u03b7\u03bd \u03c0\u03c1\u03cc\u03c4\u03b1\u03c3\u03b7 \u03b1\u03c0\u03cc \u03c4\u03b7\u03bd \u03b5\u03ba\u03c4\u03ad\u03bb\u03b5\u03c3\u03b7. \u03a4\u03bf LLM \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03b4\u03b9\u03b1\u03b2\u03ac\u03c3\u03b5\u03b9 \u03b5\u03c4\u03b5\u03c1\u03bf\u03b3\u03b5\u03bd\u03ad\u03c2 context \u03ba\u03b1\u03b9 \u03bd\u03b1 \u03c3\u03c5\u03bd\u03b8\u03ad\u03c3\u03b5\u03b9 \u03b5\u03c0\u03b9\u03bb\u03bf\u03b3\u03ad\u03c2. \u039f \u03ba\u03ce\u03b4\u03b9\u03ba\u03b1\u03c2 \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03b5\u03c0\u03b9\u03b2\u03ac\u03bb\u03bb\u03b5\u03b9 spend caps, permissions, inventory floors, duplicate prevention \u03ba\u03b1\u03b9 stop conditions. \u03a4\u03b1 <a href=\"https:\/\/twodots.gr\/multimodal-ai-agents-antilipsi-drasi\/\">multimodal AI agents<\/a> \u03b4\u03b5\u03af\u03c7\u03bd\u03bf\u03c5\u03bd \u03c4\u03b7\u03bd \u03af\u03b4\u03b9\u03b1 \u03b1\u03bd\u03ac\u03b3\u03ba\u03b7: \u03c3\u03c9\u03c3\u03c4\u03ae \u03b1\u03bd\u03c4\u03af\u03bb\u03b7\u03c8\u03b7 \u03b4\u03b5\u03bd \u03b5\u03b3\u03b3\u03c5\u03ac\u03c4\u03b1\u03b9 \u03c3\u03c9\u03c3\u03c4\u03ae \u03b4\u03c1\u03ac\u03c3\u03b7 \u03c7\u03c9\u03c1\u03af\u03c2 verification \u03c0\u03c1\u03b9\u03bd \u03ba\u03b1\u03b9 \u03bc\u03b5\u03c4\u03ac \u03c4\u03bf action.<\/p>\n<div class=\"td-step-list\">\n<p class=\"td-step-list-title\">\u0395\u03c0\u03c4\u03ac \u03b2\u03ae\u03bc\u03b1\u03c4\u03b1 \u03b3\u03b9\u03b1 \u03ad\u03bd\u03b1 \u03b5\u03bb\u03b5\u03b3\u03c7\u03cc\u03bc\u03b5\u03bd\u03bf multi-agent pilot<\/p>\n<ol>\n<li><span class=\"td-step-kicker\">\u0421\u0442\u044a\u043f\u043a\u0430 1<\/span><strong>\u039f\u03c1\u03af\u03c3\u03c4\u03b5 \u03bc\u03af\u03b1 \u03c3\u03c5\u03b6\u03b5\u03c5\u03b3\u03bc\u03ad\u03bd\u03b7 \u03b1\u03c0\u03cc\u03c6\u03b1\u03c3\u03b7<\/strong>\n<p>\u0394\u03b9\u03b1\u03bb\u03ad\u03be\u03c4\u03b5 workflow \u03cc\u03c0\u03bf\u03c5 \u03b4\u03cd\u03bf \u03ae \u03c4\u03c1\u03b5\u03b9\u03c2 \u03b5\u03c0\u03b9\u03bb\u03bf\u03b3\u03ad\u03c2 \u03b1\u03bb\u03bb\u03ac\u03b6\u03bf\u03c5\u03bd \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03ac \u03b7 \u03bc\u03af\u03b1 \u03c4\u03b1 \u03cc\u03c1\u03b9\u03b1 \u03c4\u03b7\u03c2 \u03ac\u03bb\u03bb\u03b7\u03c2, \u03cc\u03c0\u03c9\u03c2 offer, stock \u03ba\u03b1\u03b9 margin, \u03cc\u03c7\u03b9 \u03c4\u03c1\u03b5\u03b9\u03c2 \u03c4\u03b5\u03c7\u03bd\u03b7\u03c4\u03bf\u03cd\u03c2 \u03c1\u03cc\u03bb\u03bf\u03c5\u03c2 \u03c0\u03ac\u03bd\u03c9 \u03c3\u03c4\u03b7\u03bd \u03af\u03b4\u03b9\u03b1 \u03b5\u03c1\u03b3\u03b1\u03c3\u03af\u03b1.<\/p>\n<\/li>\n<li><span class=\"td-step-kicker\">\u0421\u0442\u044a\u043f\u043a\u0430 2<\/span><strong>\u039a\u03b1\u03c4\u03b1\u03b3\u03c1\u03ac\u03c8\u03c4\u03b5 \u03c4\u03bf shared state<\/strong>\n<p>\u039c\u03b5\u03c4\u03b1\u03c4\u03c1\u03ad\u03c8\u03c4\u03b5 budget, capacity, availability, permissions \u03ba\u03b1\u03b9 quality signals \u03c3\u03b5 versioned \u03c0\u03b5\u03b4\u03af\u03b1 \u03bc\u03b5 \u03bc\u03bf\u03bd\u03ac\u03b4\u03b5\u03c2, freshness \u03ba\u03b1\u03b9 \u03b9\u03b4\u03b9\u03bf\u03ba\u03c4\u03ae\u03c4\u03b7.<\/p>\n<\/li>\n<li><span class=\"td-step-kicker\">\u0421\u0442\u044a\u043f\u043a\u0430 3<\/span><strong>\u03a0\u03b5\u03c1\u03b9\u03bf\u03c1\u03af\u03c3\u03c4\u03b5 \u03c4\u03bf action space<\/strong>\n<p>\u0394\u03ce\u03c3\u03c4\u03b5 \u03c3\u03b5 \u03ba\u03ac\u03b8\u03b5 specialist \u03bb\u03af\u03b3\u03b5\u03c2, \u03c3\u03b1\u03c6\u03b5\u03af\u03c2 \u03b5\u03c0\u03b9\u03bb\u03bf\u03b3\u03ad\u03c2 \u03ba\u03b1\u03b9 typed output. \u0395\u03bb\u03b5\u03cd\u03b8\u03b5\u03c1\u03bf \u03ba\u03b5\u03af\u03bc\u03b5\u03bd\u03bf \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03b5\u03be\u03b7\u03b3\u03b5\u03af, \u03b1\u03bb\u03bb\u03ac \u03b4\u03b5\u03bd \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03b5\u03af\u03bd\u03b1\u03b9 \u03b7 \u03b5\u03ba\u03c4\u03b5\u03bb\u03ad\u03c3\u03b9\u03bc\u03b7 \u03b1\u03c0\u03cc\u03c6\u03b1\u03c3\u03b7.<\/p>\n<\/li>\n<li><span class=\"td-step-kicker\">\u0421\u0442\u044a\u043f\u043a\u0430 4<\/span><strong>\u03a7\u03c4\u03af\u03c3\u03c4\u03b5 deterministic validator<\/strong>\n<p>\u039a\u03c9\u03b4\u03b9\u03ba\u03bf\u03c0\u03bf\u03b9\u03ae\u03c3\u03c4\u03b5 spend caps, stock floors, role permissions, normalization, compliance \u03ba\u03b1\u03b9 stop conditions \u03c0\u03c1\u03b9\u03bd \u03c3\u03c5\u03bd\u03b4\u03ad\u03c3\u03b5\u03c4\u03b5 \u03c4\u03b7\u03bd \u03c0\u03c1\u03cc\u03c4\u03b1\u03c3\u03b7 \u03bc\u03b5 write access.<\/p>\n<\/li>\n<li><span class=\"td-step-kicker\">\u0421\u0442\u044a\u043f\u043a\u0430 5<\/span><strong>\u03a3\u03c5\u03b3\u03ba\u03c1\u03af\u03bd\u03b5\u03c4\u03b5 \u03bc\u03b5 \u03b1\u03c0\u03bb\u03cc baseline<\/strong>\n<p>\u03a4\u03c1\u03ad\u03be\u03c4\u03b5 rule-based \u03ae single-agent \u03b5\u03ba\u03b4\u03bf\u03c7\u03ae \u03c3\u03c4\u03b1 \u03af\u03b4\u03b9\u03b1 cases. \u0391\u03bd \u03b7 coupled \u03bf\u03bc\u03ac\u03b4\u03b1 \u03b4\u03b5\u03bd \u03b2\u03b5\u03bb\u03c4\u03b9\u03ce\u03bd\u03b5\u03b9 outcome, failures \u03ae \u03bb\u03b5\u03b9\u03c4\u03bf\u03c5\u03c1\u03b3\u03b9\u03ba\u03cc \u03ba\u03cc\u03c3\u03c4\u03bf\u03c2, \u03b7 \u03c0\u03c1\u03cc\u03c3\u03b8\u03b5\u03c4\u03b7 \u03c0\u03bf\u03bb\u03c5\u03c0\u03bb\u03bf\u03ba\u03cc\u03c4\u03b7\u03c4\u03b1 \u03b4\u03b5\u03bd \u03b4\u03b9\u03ba\u03b1\u03b9\u03bf\u03bb\u03bf\u03b3\u03b5\u03af\u03c4\u03b1\u03b9.<\/p>\n<\/li>\n<li><span class=\"td-step-kicker\">\u0421\u0442\u044a\u043f\u043a\u0430 6<\/span><strong>\u039e\u03b5\u03ba\u03b9\u03bd\u03ae\u03c3\u03c4\u03b5 \u03bc\u03b5 shadow runs<\/strong>\n<p>\u039a\u03b1\u03c4\u03b1\u03b3\u03c1\u03ac\u03c8\u03c4\u03b5 \u03c0\u03c1\u03bf\u03c4\u03ac\u03c3\u03b5\u03b9\u03c2 \u03c7\u03c9\u03c1\u03af\u03c2 \u03b1\u03c5\u03c4\u03cc\u03bc\u03b1\u03c4\u03b7 \u03b5\u03ba\u03c4\u03ad\u03bb\u03b5\u03c3\u03b7, \u03b5\u03bb\u03ad\u03b3\u03be\u03c4\u03b5 repairs \u03c4\u03bf\u03c5 validator \u03ba\u03b1\u03b9 \u03bc\u03b5\u03c4\u03c1\u03ae\u03c3\u03c4\u03b5 \u03c0\u03cc\u03c3\u03bf \u03c3\u03c5\u03c7\u03bd\u03ac \u03ac\u03bd\u03b8\u03c1\u03c9\u03c0\u03bf\u03c2 \u03b1\u03bb\u03bb\u03ac\u03b6\u03b5\u03b9 \u03ae \u03b1\u03c0\u03bf\u03c1\u03c1\u03af\u03c0\u03c4\u03b5\u03b9 \u03c4\u03b7\u03bd \u03b1\u03c0\u03cc\u03c6\u03b1\u03c3\u03b7.<\/p>\n<\/li>\n<li><span class=\"td-step-kicker\">\u0421\u0442\u044a\u043f\u043a\u0430 7<\/span><strong>\u039c\u03b5\u03c4\u03c1\u03ae\u03c3\u03c4\u03b5 \u03ba\u03b1\u03b9 \u03bb\u03b5\u03b9\u03c4\u03bf\u03c5\u03c1\u03b3\u03ae\u03c3\u03c4\u03b5 \u03c4\u03bf \u03c3\u03cd\u03c3\u03c4\u03b7\u03bc\u03b1<\/strong>\n<p>\u03a0\u03b1\u03c1\u03b1\u03ba\u03bf\u03bb\u03bf\u03c5\u03b8\u03ae\u03c3\u03c4\u03b5 outcome, waste, failure rate, latency, \u03ba\u03cc\u03c3\u03c4\u03bf\u03c2 inference, overrides \u03ba\u03b1\u03b9 incidents \u03bc\u03b5 \u03c3\u03b1\u03c6\u03ae rollback \u03ba\u03b1\u03b9 \u03b7\u03bc\u03b5\u03c1\u03bf\u03bc\u03b7\u03bd\u03af\u03b1 \u03b5\u03c0\u03b1\u03bd\u03b5\u03be\u03ad\u03c4\u03b1\u03c3\u03b7\u03c2.<\/p>\n<\/li>\n<\/ol>\n<\/div>\n<p>\u0397 \u03bc\u03ad\u03c4\u03c1\u03b7\u03c3\u03b7 \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03be\u03b5\u03ba\u03b9\u03bd\u03ac \u03c0\u03c1\u03b9\u03bd \u03b1\u03c0\u03cc \u03c4\u03b7\u03bd AI. \u03a4\u03b1 <a href=\"https:\/\/twodots.gr\/analytics-platforms-data-decisions\/\">analytics platforms \u03b3\u03b9\u03b1 \u03b1\u03c0\u03bf\u03c6\u03ac\u03c3\u03b5\u03b9\u03c2 growth<\/a> \u03b5\u03af\u03bd\u03b1\u03b9 \u03c7\u03c1\u03ae\u03c3\u03b9\u03bc\u03b1 \u03cc\u03c4\u03b1\u03bd \u03ba\u03ac\u03b8\u03b5 KPI \u03c3\u03c5\u03bd\u03b4\u03ad\u03b5\u03c4\u03b1\u03b9 \u03bc\u03b5 action, owner \u03ba\u03b1\u03b9 \u03b1\u03be\u03b9\u03cc\u03c0\u03b9\u03c3\u03c4\u03b7 \u03c0\u03b7\u03b3\u03ae. \u03a3\u03c4\u03bf pilot \u03c4\u03bf\u03c5 FL-MAESTRO, \u03c4\u03b1 \u03b1\u03bd\u03c4\u03af\u03c3\u03c4\u03bf\u03b9\u03c7\u03b1 KPI \u03b5\u03af\u03bd\u03b1\u03b9 best accuracy, wasted energy, failure rate, communication cost \u03ba\u03b1\u03b9 analysis rounds.<\/p>\n<h2 id=\"oria-meletis\">\u039f\u03b9 \u03c0\u03b5\u03c1\u03b9\u03bf\u03c1\u03b9\u03c3\u03bc\u03bf\u03af \u03c0\u03bf\u03c5 \u03b4\u03b5\u03bd \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03c7\u03b1\u03b8\u03bf\u03cd\u03bd<\/h2>\n<p>\u0397 \u03ba\u03bb\u03af\u03bc\u03b1\u03ba\u03b1 \u03c4\u03c9\u03bd 30 clients \u03b1\u03c0\u03ad\u03c7\u03b5\u03b9 \u03b1\u03c0\u03cc \u03b4\u03af\u03ba\u03c4\u03c5\u03b1 \u03bc\u03b5 \u03c7\u03b9\u03bb\u03b9\u03ac\u03b4\u03b5\u03c2 \u03ae \u03b5\u03ba\u03b1\u03c4\u03bf\u03bc\u03bc\u03cd\u03c1\u03b9\u03b1 \u03c3\u03c5\u03c3\u03ba\u03b5\u03c5\u03ad\u03c2. \u039f\u03b9 \u03c3\u03c5\u03b3\u03b3\u03c1\u03b1\u03c6\u03b5\u03af\u03c2 \u03b1\u03bd\u03b1\u03b3\u03bd\u03c9\u03c1\u03af\u03b6\u03bf\u03c5\u03bd \u03cc\u03c4\u03b9 \u03c4\u03bf prompt context \u03c0\u03b9\u03b8\u03b1\u03bd\u03cc\u03c4\u03b1\u03c4\u03b1 \u03b8\u03b1 \u03b1\u03c0\u03b1\u03b9\u03c4\u03bf\u03cd\u03c3\u03b5 hierarchical decomposition \u03c3\u03b5 \u03bc\u03b5\u03b3\u03b1\u03bb\u03cd\u03c4\u03b5\u03c1\u03b7 \u03ba\u03bb\u03af\u03bc\u03b1\u03ba\u03b1. Mobility, channel-quality fluctuation, handovers, multi-user interference, OFDMA scheduling \u03ba\u03b1\u03b9 retransmission energy \u03b8\u03b5\u03c9\u03c1\u03bf\u03cd\u03bd\u03c4\u03b1\u03b9 \u03c3\u03c4\u03b1\u03b8\u03b5\u03c1\u03ac \u03ae \u03b1\u03c6\u03b1\u03b9\u03c1\u03bf\u03cd\u03bd\u03c4\u03b1\u03b9 \u03bc\u03ad\u03c3\u03b1 \u03c3\u03b5 \u03ad\u03bd\u03b1\u03bd \u03b3\u03cd\u03c1\u03bf.<\/p>\n<p>\u03a4\u03b1 \u03b1\u03c0\u03bf\u03c4\u03b5\u03bb\u03ad\u03c3\u03bc\u03b1\u03c4\u03b1 \u03b2\u03b1\u03c3\u03af\u03b6\u03bf\u03bd\u03c4\u03b1\u03b9 \u03c3\u03b5 simulation, \u03c4\u03c1\u03af\u03b1 seeds \u03ba\u03b1\u03b9 \u03ad\u03bd\u03b1 vision dataset. \u0394\u03b5\u03bd \u03b1\u03c0\u03bf\u03b4\u03b5\u03b9\u03ba\u03bd\u03cd\u03bf\u03c5\u03bd \u03b1\u03c0\u03cc\u03b4\u03bf\u03c3\u03b7 \u03c3\u03b5 \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03ad\u03c2 \u03c3\u03c5\u03c3\u03ba\u03b5\u03c5\u03ad\u03c2, \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03b5\u03c4\u03b9\u03ba\u03ac datasets \u03ae \u03b1\u03c0\u03c1\u03cc\u03b2\u03bb\u03b5\u03c0\u03c4\u03b1 telemetry failures. \u0397 natural-text \u03b5\u03c4\u03b5\u03c1\u03bf\u03b3\u03ad\u03bd\u03b5\u03b9\u03b1 \u03b4\u03b5\u03bd \u03bc\u03b5\u03c4\u03c1\u03ae\u03b8\u03b7\u03ba\u03b5 \u03c3\u03b5 \u03c0\u03bf\u03bb\u03bb\u03b1\u03c0\u03bb\u03ac schemas. \u039a\u03b1\u03b9 \u03b7 \u03b5\u03bd\u03b5\u03c1\u03b3\u03b5\u03b9\u03b1\u03ba\u03ae \u03b2\u03b5\u03bb\u03c4\u03af\u03c9\u03c3\u03b7 \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03b1\u03c0\u03bf\u03b4\u03bf\u03b8\u03b5\u03af \u03c3\u03c9\u03c3\u03c4\u03ac \u03c3\u03c4\u03b7 predicted-failure list, \u03cc\u03c7\u03b9 \u03c3\u03b5 \u03bc\u03b9\u03b1 \u03b3\u03b5\u03bd\u03b9\u03ba\u03ae \u03c5\u03c0\u03b5\u03c1\u03bf\u03c7\u03ae \u03c4\u03c9\u03bd LLM agents.<\/p>\n<p>\u03a4\u03bf \u03b4\u03b9\u03b1\u03b8\u03ad\u03c3\u03b9\u03bc\u03bf paper \u03b5\u03af\u03bd\u03b1\u03b9 arXiv v1 \u03c4\u03b7\u03c2 20\u03ae\u03c2 \u0391\u03c5\u03b3\u03bf\u03cd\u03c3\u03c4\u03bf\u03c5 2026 \u03ba\u03b1\u03b9 \u03b7 \u03c3\u03b5\u03bb\u03af\u03b4\u03b1 \u03c4\u03bf\u03c5 \u03b1\u03bd\u03b1\u03c6\u03ad\u03c1\u03b5\u03b9 \u03b1\u03c0\u03bf\u03b4\u03bf\u03c7\u03ae \u03c3\u03c4\u03bf IEEE GLOBECOM 2026. \u03a4\u03bf \u03b4\u03b7\u03bc\u03cc\u03c3\u03b9\u03bf repository \u03b4\u03b9\u03b1\u03b8\u03ad\u03c4\u03b5\u03b9 \u03ba\u03ce\u03b4\u03b9\u03ba\u03b1, tests \u03ba\u03b1\u03b9 \u03bf\u03b4\u03b7\u03b3\u03af\u03b5\u03c2 \u03b1\u03bd\u03b1\u03c0\u03b1\u03c1\u03b1\u03b3\u03c9\u03b3\u03ae\u03c2, \u03b1\u03bb\u03bb\u03ac \u03b4\u03b5\u03bd \u03c0\u03b5\u03c1\u03b9\u03bb\u03b1\u03bc\u03b2\u03ac\u03bd\u03b5\u03b9 \u03ad\u03c4\u03bf\u03b9\u03bc\u03b1 result files\u00b7 \u03bf\u03b9 \u03b5\u03bd\u03b4\u03b9\u03b1\u03c6\u03b5\u03c1\u03cc\u03bc\u03b5\u03bd\u03b5\u03c2 \u03bf\u03bc\u03ac\u03b4\u03b5\u03c2 \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03be\u03b1\u03bd\u03b1\u03c4\u03c1\u03ad\u03be\u03bf\u03c5\u03bd \u03c4\u03b1 experiments \u03ba\u03b1\u03b9 \u03bd\u03b1 \u03b5\u03bb\u03ad\u03b3\u03be\u03bf\u03c5\u03bd \u03c4\u03bf \u03b4\u03b9\u03ba\u03cc \u03c4\u03bf\u03c5\u03c2 hardware \u03ba\u03b1\u03b9 telemetry.<\/p>\n<h2 id=\"metrisimo-systima\">\u0391\u03c0\u03cc \u03c4\u03bf \u03b5\u03bd\u03c4\u03c5\u03c0\u03c9\u03c3\u03b9\u03b1\u03ba\u03cc demo \u03c3\u03c4\u03bf \u03bc\u03b5\u03c4\u03c1\u03ae\u03c3\u03b9\u03bc\u03bf \u03c3\u03cd\u03c3\u03c4\u03b7\u03bc\u03b1<\/h2>\n<p>\u03a4\u03bf FL-MAESTRO \u03c0\u03c1\u03bf\u03c3\u03c6\u03ad\u03c1\u03b5\u03b9 \u03ad\u03bd\u03b1 \u03ba\u03b1\u03b8\u03b1\u03c1\u03cc design pattern: specialists \u03b3\u03b9\u03b1 \u03c0\u03b5\u03c1\u03b9\u03bf\u03c1\u03b9\u03c3\u03bc\u03ad\u03bd\u03b5\u03c2 \u03b1\u03c0\u03bf\u03c6\u03ac\u03c3\u03b5\u03b9\u03c2, coordinator \u03b3\u03b9\u03b1 \u03c3\u03cd\u03bd\u03b8\u03b5\u03c3\u03b7, \u03b5\u03c1\u03b3\u03b1\u03bb\u03b5\u03af\u03b1 \u03b3\u03b9\u03b1 \u03c5\u03c0\u03bf\u03bb\u03bf\u03b3\u03b9\u03c3\u03bc\u03bf\u03cd\u03c2 \u03ba\u03b1\u03b9 deterministic validator \u03c0\u03c1\u03b9\u03bd \u03b1\u03c0\u03cc \u03c4\u03b7\u03bd \u03b5\u03ba\u03c4\u03ad\u03bb\u03b5\u03c3\u03b7. \u0394\u03b5\u03af\u03c7\u03bd\u03b5\u03b9 \u03b5\u03c0\u03af\u03c3\u03b7\u03c2 \u03cc\u03c4\u03b9 \u03b7 \u03b1\u03c0\u03bb\u03cc\u03c4\u03b7\u03c4\u03b1 \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03ba\u03b5\u03c1\u03b4\u03af\u03c3\u03b5\u03b9. \u038c\u03c4\u03b1\u03bd \u03bf\u03b9 \u03ba\u03b1\u03bd\u03cc\u03bd\u03b5\u03c2 \u03b5\u03af\u03bd\u03b1\u03b9 \u03c3\u03b1\u03c6\u03b5\u03af\u03c2 \u03ba\u03b1\u03b9 \u03c4\u03b1 outputs typed, \u03c0\u03b5\u03c1\u03b9\u03c3\u03c3\u03cc\u03c4\u03b5\u03c1\u03b7 agentic \u03b4\u03b9\u03b1\u03c0\u03c1\u03b1\u03b3\u03bc\u03ac\u03c4\u03b5\u03c5\u03c3\u03b7 \u03b4\u03b5\u03bd \u03b5\u03af\u03bd\u03b1\u03b9 \u03b1\u03c5\u03c4\u03bf\u03bc\u03ac\u03c4\u03c9\u03c2 \u03ba\u03b1\u03bb\u03cd\u03c4\u03b5\u03c1\u03b7.<\/p>\n<p>\u0393\u03b9\u03b1 \u03ad\u03bd\u03b1\u03bd business owner \u03ae \u03bc\u03b9\u03b1 \u03bf\u03bc\u03ac\u03b4\u03b1 marketing technology, \u03c4\u03bf \u03c3\u03c9\u03c3\u03c4\u03cc \u03b5\u03c1\u03ce\u03c4\u03b7\u03bc\u03b1 \u03b4\u03b5\u03bd \u03b5\u03af\u03bd\u03b1\u03b9 \u00ab\u03c0\u03cc\u03c3\u03bf\u03c5\u03c2 agents \u03bd\u03b1 \u03b2\u03ac\u03bb\u03bf\u03c5\u03bc\u03b5;\u00bb. \u0395\u03af\u03bd\u03b1\u03b9 \u03c0\u03bf\u03b9\u03b1 \u03b1\u03bb\u03bb\u03b7\u03bb\u03b5\u03be\u03ac\u03c1\u03c4\u03b7\u03c3\u03b7 \u03b4\u03b5\u03bd \u03b4\u03b9\u03b1\u03c7\u03b5\u03b9\u03c1\u03af\u03b6\u03b5\u03c4\u03b1\u03b9 \u03ba\u03b1\u03bb\u03ac \u03bf \u03c3\u03b7\u03bc\u03b5\u03c1\u03b9\u03bd\u03cc\u03c2 \u03ba\u03b1\u03bd\u03cc\u03bd\u03b1\u03c2, \u03c0\u03bf\u03b9\u03b1 \u03b4\u03b5\u03b4\u03bf\u03bc\u03ad\u03bd\u03b1 \u03c4\u03b7\u03bd \u03b1\u03c0\u03bf\u03c4\u03c5\u03c0\u03ce\u03bd\u03bf\u03c5\u03bd, \u03c0\u03bf\u03b9\u03bf\u03c2 validator \u03c0\u03c1\u03bf\u03c3\u03c4\u03b1\u03c4\u03b5\u03cd\u03b5\u03b9 \u03c4\u03b7\u03bd \u03b5\u03ba\u03c4\u03ad\u03bb\u03b5\u03c3\u03b7 \u03ba\u03b1\u03b9 \u03c0\u03bf\u03b9\u03bf baseline \u03b8\u03b1 \u03b1\u03c0\u03bf\u03b4\u03b5\u03af\u03be\u03b5\u03b9 \u03cc\u03c4\u03b9 \u03b7 \u03bd\u03ad\u03b1 \u03b1\u03c1\u03c7\u03b9\u03c4\u03b5\u03ba\u03c4\u03bf\u03bd\u03b9\u03ba\u03ae \u03b1\u03be\u03af\u03b6\u03b5\u03b9. \u0395\u03ba\u03b5\u03af \u03b7 agentic AI \u03c0\u03b1\u03cd\u03b5\u03b9 \u03bd\u03b1 \u03b5\u03af\u03bd\u03b1\u03b9 \u03c0\u03b1\u03c1\u03bf\u03c5\u03c3\u03af\u03b1\u03c3\u03b7 \u03ba\u03b1\u03b9 \u03b3\u03af\u03bd\u03b5\u03c4\u03b1\u03b9 \u03bb\u03b5\u03b9\u03c4\u03bf\u03c5\u03c1\u03b3\u03b9\u03ba\u03ae \u03c5\u03c0\u03bf\u03b4\u03bf\u03bc\u03ae.<\/p>\n<p>\u0397 <a href=\"https:\/\/twodots.gr\/aftomatismoi-epicheiriseon-ai\/\">TWO DOTS \u03c3\u03c7\u03b5\u03b4\u03b9\u03ac\u03b6\u03b5\u03b9 \u0391\u03c5\u03c4\u03bf\u03bc\u03b1\u03c4\u03b9\u03c3\u03bc\u03bf\u03cd\u03c2 \u0395\u03c0\u03b9\u03c7\u03b5\u03b9\u03c1\u03ae\u03c3\u03b5\u03c9\u03bd &amp; AI<\/a> \u03bc\u03b5 \u03c7\u03b1\u03c1\u03c4\u03bf\u03b3\u03c1\u03ac\u03c6\u03b7\u03c3\u03b7 \u03b4\u03b9\u03b1\u03b4\u03b9\u03ba\u03b1\u03c3\u03af\u03b1\u03c2, typed \u03b4\u03b5\u03b4\u03bf\u03bc\u03ad\u03bd\u03b1, permissions, validation, human approvals \u03ba\u03b1\u03b9 monitoring \u03c0\u03c1\u03b9\u03bd \u03ad\u03bd\u03b1 workflow \u03b1\u03c0\u03bf\u03ba\u03c4\u03ae\u03c3\u03b5\u03b9 \u03c0\u03c1\u03cc\u03c3\u03b2\u03b1\u03c3\u03b7 \u03c3\u03b5 e-shop, CRM, ERP \u03ae \u03ba\u03b1\u03bc\u03c0\u03ac\u03bd\u03b9\u03b5\u03c2.<\/p>\n<section class=\"td-service-cta\">\n<div class=\"td-service-cta-content\">\n<p class=\"td-service-cta-kicker\">\u0391\u03c0\u03cc \u03c4\u03bf\u03c5\u03c2 agents \u03c3\u03c4\u03b7 \u03bb\u03b5\u03b9\u03c4\u03bf\u03c5\u03c1\u03b3\u03af\u03b1<\/p>\n<p class=\"td-service-cta-title\">\u03a3\u03c7\u03b5\u03b4\u03b9\u03ac\u03c3\u03c4\u03b5 multi-agent workflow \u03bc\u03b5 \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03ac \u03cc\u03c1\u03b9\u03b1<\/p>\n<p>\u0397 TWO DOTS \u03be\u03b5\u03ba\u03b9\u03bd\u03ac \u03b1\u03c0\u03cc \u03c4\u03b7 \u03c3\u03c5\u03b6\u03b5\u03c5\u03b3\u03bc\u03ad\u03bd\u03b7 \u03b5\u03c0\u03b9\u03c7\u03b5\u03b9\u03c1\u03b7\u03c3\u03b9\u03b1\u03ba\u03ae \u03b1\u03c0\u03cc\u03c6\u03b1\u03c3\u03b7, \u03bf\u03c1\u03af\u03b6\u03b5\u03b9 data contracts \u03ba\u03b1\u03b9 deterministic validation \u03ba\u03b1\u03b9 \u03c3\u03c5\u03b3\u03ba\u03c1\u03af\u03bd\u03b5\u03b9 \u03c4\u03bf pilot \u03bc\u03b5 \u03b1\u03c0\u03bb\u03cc baseline \u03c0\u03c1\u03b9\u03bd \u03b1\u03c0\u03cc production write access.<\/p>\n<div class=\"td-service-cta-actions\"><a class=\"td-service-cta-button\" href=\"https:\/\/twodots.gr\/aftomatismoi-epicheiriseon-ai\/\">\u03a3\u03c5\u03b6\u03b7\u03c4\u03ae\u03c3\u03c4\u03b5 \u03c4\u03bf AI workflow \u03c3\u03b1\u03c2<\/a><\/div>\n<\/div>\n<\/section>\n<section id=\"sychnes-erotiseis\" class=\"td-faq-section\">\n<div class=\"td-faq\">\n<p class=\"td-faq-heading\">\u0427\u0435\u0441\u0442\u043e \u0437\u0430\u0434\u0430\u0432\u0430\u043d\u0438 \u0432\u044a\u043f\u0440\u043e\u0441\u0438<\/p>\n<details class=\"td-faq-item\">\n<summary class=\"td-faq-title\">\u03a4\u03b9 \u03b5\u03af\u03bd\u03b1\u03b9 \u03c4\u03bf FL-MAESTRO;<\/summary>\n<div class=\"td-faq-content\">\n<p>\u0395\u03af\u03bd\u03b1\u03b9 multi-agent orchestrator \u03b3\u03b9\u03b1 federated learning \u03c0\u03bf\u03c5 \u03c3\u03c5\u03bd\u03c4\u03bf\u03bd\u03af\u03b6\u03b5\u03b9 \u03b1\u03bd\u03ac \u03b3\u03cd\u03c1\u03bf topology, per-client resources \u03ba\u03b1\u03b9 aggregation \u03ba\u03b1\u03b9 \u03c0\u03b5\u03c1\u03bd\u03ac \u03c4\u03b7\u03bd \u03c4\u03b5\u03bb\u03b9\u03ba\u03ae \u03b1\u03c0\u03cc\u03c6\u03b1\u03c3\u03b7 \u03b1\u03c0\u03cc non-LLM feasibility validator.<\/p>\n<\/div>\n<\/details>\n<details class=\"td-faq-item\">\n<summary class=\"td-faq-title\">\u0393\u03b9\u03b1\u03c4\u03af \u03c7\u03c1\u03b7\u03c3\u03b9\u03bc\u03bf\u03c0\u03bf\u03b9\u03b5\u03af \u03c4\u03c1\u03b5\u03b9\u03c2 specialist agents;<\/summary>\n<div class=\"td-faq-content\">\n<p>\u039a\u03ac\u03b8\u03b5 agent \u03c7\u03b5\u03b9\u03c1\u03af\u03b6\u03b5\u03c4\u03b1\u03b9 \u03bc\u03af\u03b1 decision dimension \u2014 topology, resources \u03ae aggregation \u2014 \u03b1\u03bb\u03bb\u03ac \u03b2\u03bb\u03ad\u03c0\u03b5\u03b9 constraints \u03b1\u03c0\u03cc \u03c4\u03b9\u03c2 \u03ac\u03bb\u03bb\u03b5\u03c2, \u03ce\u03c3\u03c4\u03b5 \u03bf\u03b9 \u03c0\u03c1\u03bf\u03c4\u03ac\u03c3\u03b5\u03b9\u03c2 \u03bd\u03b1 \u03bc\u03b7 \u03b3\u03af\u03bd\u03bf\u03bd\u03c4\u03b1\u03b9 \u03b1\u03c0\u03bf\u03bc\u03bf\u03bd\u03c9\u03bc\u03ad\u03bd\u03b1.<\/p>\n<\/div>\n<\/details>\n<details class=\"td-faq-item\">\n<summary class=\"td-faq-title\">\u03a0\u03ce\u03c2 \u03bc\u03b5\u03b9\u03ce\u03bd\u03b5\u03b9 \u03c4\u03b7 \u03c7\u03b1\u03bc\u03ad\u03bd\u03b7 \u03b5\u03bd\u03ad\u03c1\u03b3\u03b5\u03b9\u03b1;<\/summary>\n<div class=\"td-faq-content\">\n<p>\u03a7\u03c1\u03b7\u03c3\u03b9\u03bc\u03bf\u03c0\u03bf\u03b9\u03b5\u03af predicted-failure list \u03ba\u03b1\u03b9 \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03b1\u03c0\u03bf\u03ba\u03bb\u03b5\u03af\u03c3\u03b5\u03b9 clients \u03c0\u03bf\u03c5 \u03b1\u03bd\u03b1\u03bc\u03ad\u03bd\u03b5\u03c4\u03b1\u03b9 \u03bd\u03b1 \u03b5\u03be\u03b1\u03bd\u03c4\u03bb\u03ae\u03c3\u03bf\u03c5\u03bd \u03c4\u03b7\u03bd \u03bc\u03c0\u03b1\u03c4\u03b1\u03c1\u03af\u03b1 \u03c0\u03c1\u03b9\u03bd \u03c4\u03bf update \u03c4\u03bf\u03c5\u03c2 \u03b5\u03bd\u03c3\u03c9\u03bc\u03b1\u03c4\u03c9\u03b8\u03b5\u03af \u03c3\u03c4\u03bf aggregation.<\/p>\n<\/div>\n<\/details>\n<details class=\"td-faq-item\">\n<summary class=\"td-faq-title\">\u03a0\u03bf\u03b9\u03bf\u03c2 \u03b5\u03af\u03bd\u03b1\u03b9 \u03bf \u03c1\u03cc\u03bb\u03bf\u03c2 \u03c4\u03bf\u03c5 deterministic validator;<\/summary>\n<div class=\"td-faq-content\">\n<p>\u0395\u03bb\u03ad\u03b3\u03c7\u03b5\u03b9 battery eligibility, aggregator capability, \u03ba\u03b1\u03bd\u03bf\u03bd\u03b9\u03ba\u03bf\u03c0\u03bf\u03af\u03b7\u03c3\u03b7 weights \u03ba\u03b1\u03b9 \u03b5\u03cd\u03c1\u03bf\u03c2 local epochs \u03ba\u03b1\u03b9 \u03b5\u03c0\u03b9\u03c3\u03ba\u03b5\u03c5\u03ac\u03b6\u03b5\u03b9 \u03bc\u03b7 feasible \u03c0\u03c1\u03bf\u03c4\u03ac\u03c3\u03b5\u03b9\u03c2 \u03c0\u03c1\u03b9\u03bd \u03b5\u03ba\u03c4\u03b5\u03bb\u03b5\u03c3\u03c4\u03bf\u03cd\u03bd.<\/p>\n<\/div>\n<\/details>\n<details class=\"td-faq-item\">\n<summary class=\"td-faq-title\">\u0391\u03c0\u03ad\u03b4\u03b5\u03b9\u03be\u03b5 \u03c3\u03c4\u03b1\u03c4\u03b9\u03c3\u03c4\u03b9\u03ba\u03ac \u03cc\u03c4\u03b9 \u03b7 coupled \u03b5\u03ba\u03b4\u03bf\u03c7\u03ae \u03b5\u03af\u03bd\u03b1\u03b9 \u03ba\u03b1\u03bb\u03cd\u03c4\u03b5\u03c1\u03b7;<\/summary>\n<div class=\"td-faq-content\">\n<p>\u038c\u03c7\u03b9. \u03a4\u03bf paired one-sided test \u03c3\u03c4\u03bf extreme scenario \u03ad\u03b4\u03c9\u03c3\u03b5 p=0,39 \u03ba\u03b1\u03b9 confidence interval \u03c0\u03bf\u03c5 \u03c0\u03b5\u03c1\u03bd\u03bf\u03cd\u03c3\u03b5 \u03b1\u03c0\u03cc \u03c4\u03bf \u03bc\u03b7\u03b4\u03ad\u03bd, \u03ac\u03c1\u03b1 \u03b7 \u03bc\u03b5\u03bb\u03ad\u03c4\u03b7 \u03bc\u03b9\u03bb\u03ac \u03b3\u03b9\u03b1 \u03ba\u03b1\u03c4\u03b5\u03c5\u03b8\u03c5\u03bd\u03c4\u03b9\u03ba\u03ae \u03c3\u03c5\u03bd\u03ad\u03c0\u03b5\u03b9\u03b1.<\/p>\n<\/div>\n<\/details>\n<details class=\"td-faq-item\">\n<summary class=\"td-faq-title\">\u039c\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03bb\u03b5\u03b9\u03c4\u03bf\u03c5\u03c1\u03b3\u03ae\u03c3\u03b5\u03b9 \u03c7\u03c9\u03c1\u03af\u03c2 cloud LLM;<\/summary>\n<div class=\"td-faq-content\">\n<p>\u039d\u03b1\u03b9 \u03c3\u03c4\u03bf \u03c3\u03c5\u03b3\u03ba\u03b5\u03ba\u03c1\u03b9\u03bc\u03ad\u03bd\u03bf testbed: \u03c4\u03bf Qwen3.5-35b \u03ad\u03c4\u03c1\u03b5\u03be\u03b5 \u03c4\u03bf\u03c0\u03b9\u03ba\u03ac \u03bc\u03ad\u03c3\u03c9 Ollama \u03ba\u03b1\u03b9 \u03b4\u03b9\u03b1\u03c4\u03ae\u03c1\u03b7\u03c3\u03b5 \u03c4\u03b7\u03bd \u03c0\u03bf\u03b9\u03bf\u03c4\u03b9\u03ba\u03ae \u03c3\u03b5\u03b9\u03c1\u03ac \u03c4\u03c9\u03bd \u03c0\u03b1\u03c1\u03b1\u03bb\u03bb\u03b1\u03b3\u03ce\u03bd, \u03c7\u03c9\u03c1\u03af\u03c2 \u03bd\u03b1 \u03b1\u03c0\u03bf\u03b4\u03b5\u03b9\u03ba\u03bd\u03cd\u03b5\u03b9 \u03c0\u03bb\u03ae\u03c1\u03b7 \u03b9\u03c3\u03bf\u03b4\u03c5\u03bd\u03b1\u03bc\u03af\u03b1 \u03c3\u03b5 \u03ba\u03ac\u03b8\u03b5 metric.<\/p>\n<\/div>\n<\/details>\n<details class=\"td-faq-item\">\n<summary class=\"td-faq-title\">\u03a7\u03c1\u03b5\u03b9\u03ac\u03b6\u03b5\u03c4\u03b1\u03b9 \u03c0\u03ac\u03bd\u03c4\u03b1 \u03c0\u03b5\u03c1\u03b9\u03c3\u03c3\u03cc\u03c4\u03b5\u03c1\u03bf multi-agent debate;<\/summary>\n<div class=\"td-faq-content\">\n<p>\u038c\u03c7\u03b9. \u039f\u03b9 \u03c0\u03c1\u03cc\u03c3\u03b8\u03b5\u03c4\u03b5\u03c2 negotiation \u03c0\u03b1\u03c1\u03b1\u03bb\u03bb\u03b1\u03b3\u03ad\u03c2 \u03b4\u03b5\u03bd \u03ad\u03b4\u03c9\u03c3\u03b1\u03bd \u03bc\u03b5\u03c4\u03c1\u03ae\u03c3\u03b9\u03bc\u03bf accuracy gain \u03b5\u03b4\u03ce, \u03cc\u03c0\u03bf\u03c5 typed outputs, \u03b5\u03c1\u03b3\u03b1\u03bb\u03b5\u03af\u03b1 \u03ba\u03b1\u03b9 validator \u03c0\u03b5\u03c1\u03b9\u03cc\u03c1\u03b9\u03c3\u03b1\u03bd \u03c4\u03b7\u03bd \u03b1\u03b2\u03b5\u03b2\u03b1\u03b9\u03cc\u03c4\u03b7\u03c4\u03b1.<\/p>\n<\/div>\n<\/details>\n<details class=\"td-faq-item\">\n<summary class=\"td-faq-title\">\u03a0\u03bf\u03b9\u03bf\u03c2 \u03b5\u03af\u03bd\u03b1\u03b9 \u03bf \u03b2\u03b1\u03c3\u03b9\u03ba\u03cc\u03c2 \u03c0\u03b5\u03c1\u03b9\u03bf\u03c1\u03b9\u03c3\u03bc\u03cc\u03c2 \u03c4\u03b7\u03c2 \u03bc\u03b5\u03bb\u03ad\u03c4\u03b7\u03c2;<\/summary>\n<div class=\"td-faq-content\">\n<p>\u03a0\u03c1\u03cc\u03ba\u03b5\u03b9\u03c4\u03b1\u03b9 \u03b3\u03b9\u03b1 simulation 30 clients, \u03c4\u03c1\u03b9\u03ce\u03bd seeds \u03ba\u03b1\u03b9 \u03b5\u03bd\u03cc\u03c2 dataset, \u03bc\u03b5 \u03b1\u03c6\u03b1\u03b9\u03c1\u03b5\u03bc\u03ad\u03bd\u03b5\u03c2 \u03b1\u03c1\u03ba\u03b5\u03c4\u03ad\u03c2 \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03ad\u03c2 \u03bc\u03b5\u03c4\u03b1\u03b2\u03bb\u03b7\u03c4\u03ad\u03c2 \u03b4\u03b9\u03ba\u03c4\u03cd\u03bf\u03c5 \u03ba\u03b1\u03b9 \u03c7\u03c9\u03c1\u03af\u03c2 \u03b4\u03bf\u03ba\u03b9\u03bc\u03ae \u03c0\u03bf\u03bb\u03bb\u03b1\u03c0\u03bb\u03ce\u03bd device schemas.<\/p>\n<\/div>\n<\/details>\n<\/div>\n<\/section>\n<div class=\"td-source-list\">\n<p id=\"piges\" class=\"td-source-list-title\">\u0418\u0437\u0442\u043e\u0447\u043d\u0438\u0446\u0438<\/p>\n<ul>\n<li><a href=\"https:\/\/arxiv.org\/abs\/2608.20518\" target=\"_blank\" rel=\"noopener\">Wu et al. \u2014 FL-MAESTRO: Multi-Agent LLM Orchestration for Resource-Constrained Federated Learning, arXiv v1<\/a><\/li>\n<li><a href=\"https:\/\/github.com\/denoslab\/FL-MAESTRO\" target=\"_blank\" rel=\"noopener\">DenOS Lab \u2014 \u03b5\u03c0\u03af\u03c3\u03b7\u03bc\u03bf repository \u03ba\u03ce\u03b4\u03b9\u03ba\u03b1 \u03ba\u03b1\u03b9 \u03bf\u03b4\u03b7\u03b3\u03b9\u03ce\u03bd \u03b1\u03bd\u03b1\u03c0\u03b1\u03c1\u03b1\u03b3\u03c9\u03b3\u03ae\u03c2 FL-MAESTRO<\/a><\/li>\n<li><a href=\"https:\/\/github.com\/google-parfait\/tensorflow-federated\" target=\"_blank\" rel=\"noopener\">TensorFlow Federated \u2014 \u03b5\u03c0\u03af\u03c3\u03b7\u03bc\u03bf framework \u03b3\u03b9\u03b1 federated learning \u03ba\u03b1\u03b9 client\u2013server aggregation<\/a><\/li>\n<li><a href=\"https:\/\/airc.nist.gov\/airmf-resources\/airmf\/5-sec-core\/\" target=\"_blank\" rel=\"noopener\">NIST AI RMF Core \u2014 governance, validation, monitoring \u03ba\u03b1\u03b9 risk management \u03b3\u03b9\u03b1 AI \u03c3\u03c5\u03c3\u03c4\u03ae\u03bc\u03b1\u03c4\u03b1<\/a><\/li>\n<\/ul>\n<\/div>","protected":false},"excerpt":{"rendered":"<p>\u03a4\u03bf FL-MAESTRO \u03c3\u03c5\u03bd\u03c4\u03bf\u03bd\u03af\u03b6\u03b5\u03b9 topology, resources \u03ba\u03b1\u03b9 aggregation \u03c3\u03c4\u03bf federated learning \u03bc\u03b5 \u03c4\u03c1\u03b5\u03b9\u03c2 AI agents \u03ba\u03b1\u03b9 deterministic validation.<\/p>","protected":false},"author":1,"featured_media":97163,"comment_status":"open","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"_gspb_post_css":"","content-type":"","footnotes":""},"categories":[199],"tags":[19905,9556,7203,18379,19687],"class_list":["post-96257","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-techniti-noimosyni","tag-ai-orchestration","tag-data-privacy","tag-edge-ai","tag-federated-learning","tag-multi-agent-systems"],"blocksy_meta":{"styles_descriptor":{"styles":{"desktop":"","tablet":"","mobile":""},"google_fonts":[],"version":8}},"_links":{"self":[{"href":"https:\/\/twodots.gr\/bg\/wp-json\/wp\/v2\/posts\/96257","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/twodots.gr\/bg\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/twodots.gr\/bg\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/twodots.gr\/bg\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/twodots.gr\/bg\/wp-json\/wp\/v2\/comments?post=96257"}],"version-history":[{"count":1,"href":"https:\/\/twodots.gr\/bg\/wp-json\/wp\/v2\/posts\/96257\/revisions"}],"predecessor-version":[{"id":97164,"href":"https:\/\/twodots.gr\/bg\/wp-json\/wp\/v2\/posts\/96257\/revisions\/97164"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/twodots.gr\/bg\/wp-json\/wp\/v2\/media\/97163"}],"wp:attachment":[{"href":"https:\/\/twodots.gr\/bg\/wp-json\/wp\/v2\/media?parent=96257"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/twodots.gr\/bg\/wp-json\/wp\/v2\/categories?post=96257"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/twodots.gr\/bg\/wp-json\/wp\/v2\/tags?post=96257"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}