{"id":85346,"date":"2026-07-16T20:16:07","date_gmt":"2026-07-16T17:16:07","guid":{"rendered":"https:\/\/twodots.gr\/?p=85346"},"modified":"2026-07-16T20:16:10","modified_gmt":"2026-07-16T17:16:10","slug":"fedopal-mia-mono-epikoinonia-synergatiki-ai-edge","status":"publish","type":"post","link":"https:\/\/twodots.gr\/en\/fedopal-mia-mono-epikoinonia-synergatiki-ai-edge\/","title":{"rendered":"FedOPAL: \u03bc\u03af\u03b1 \u03bc\u03cc\u03bd\u03bf \u03b5\u03c0\u03b9\u03ba\u03bf\u03b9\u03bd\u03c9\u03bd\u03af\u03b1 \u03b3\u03b9\u03b1 \u03c3\u03c5\u03bd\u03b5\u03c1\u03b3\u03b1\u03c4\u03b9\u03ba\u03ae AI \u03c3\u03c4\u03bf edge"},"content":{"rendered":"<div class=\"td-article-lede\">\n<p><strong>\u03a3\u03cd\u03bd\u03c4\u03bf\u03bc\u03b7 \u03b1\u03c0\u03ac\u03bd\u03c4\u03b7\u03c3\u03b7:<\/strong> \u03c4\u03bf FedOPAL \u03b5\u03af\u03bd\u03b1\u03b9 \u03ad\u03bd\u03b1 \u03b5\u03c1\u03b5\u03c5\u03bd\u03b7\u03c4\u03b9\u03ba\u03cc \u03c0\u03bb\u03b1\u03af\u03c3\u03b9\u03bf one-shot federated learning \u03b3\u03b9\u03b1 \u03bf\u03c0\u03c4\u03b9\u03ba\u03ae AI \u03c3\u03c4\u03bf edge. \u039a\u03ac\u03b8\u03b5 client \u03c0\u03c1\u03bf\u03c3\u03b1\u03c1\u03bc\u03cc\u03b6\u03b5\u03b9 \u03bc\u03b9\u03ba\u03c1\u03ac visual prompt tokens \u03c3\u03c4\u03b1 \u03c4\u03bf\u03c0\u03b9\u03ba\u03ac \u03c4\u03bf\u03c5 \u03b4\u03b5\u03b4\u03bf\u03bc\u03ad\u03bd\u03b1, \u03c3\u03c4\u03ad\u03bb\u03bd\u03b5\u03b9 \u03bc\u03af\u03b1 \u03c6\u03bf\u03c1\u03ac prompts \u03ba\u03b1\u03b9 \u03b5\u03c0\u03b1\u03c1\u03ba\u03ae \u03c3\u03c4\u03b1\u03c4\u03b9\u03c3\u03c4\u03b9\u03ba\u03ac \u03ba\u03b1\u03b9 \u03bf server \u03c5\u03c0\u03bf\u03bb\u03bf\u03b3\u03af\u03b6\u03b5\u03b9 \u03b1\u03bd\u03b1\u03bb\u03c5\u03c4\u03b9\u03ba\u03ac \u03c4\u03bf\u03bd global classifier. \u0397 \u03c0\u03c1\u03bf\u03c3\u03ad\u03b3\u03b3\u03b9\u03c3\u03b7 \u03bc\u03b5\u03b9\u03ce\u03bd\u03b5\u03b9 \u03c4\u03bf\u03c5\u03c2 \u03b3\u03cd\u03c1\u03bf\u03c5\u03c2 \u03b5\u03c0\u03b9\u03ba\u03bf\u03b9\u03bd\u03c9\u03bd\u03af\u03b1\u03c2, \u03b1\u03bb\u03bb\u03ac \u03b4\u03b5\u03bd \u03b1\u03c0\u03bf\u03b4\u03b5\u03b9\u03ba\u03bd\u03cd\u03b5\u03b9 \u03b1\u03c5\u03c4\u03cc\u03bc\u03b1\u03c4\u03b1 \u03b9\u03b4\u03b9\u03c9\u03c4\u03b9\u03ba\u03cc\u03c4\u03b7\u03c4\u03b1, \u03b1\u03c3\u03c6\u03ac\u03bb\u03b5\u03b9\u03b1 \u03ae \u03b5\u03c4\u03bf\u03b9\u03bc\u03cc\u03c4\u03b7\u03c4\u03b1 \u03b3\u03b9\u03b1 \u03c0\u03b1\u03c1\u03b1\u03b3\u03c9\u03b3\u03ae.<\/p>\n<\/div>\n<div class=\"td-article-note\">\n<p><strong>\u03a4\u03b9 \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03ba\u03c1\u03b1\u03c4\u03ae\u03c3\u03b5\u03b9 \u03bc\u03b9\u03b1 \u03b5\u03c0\u03b9\u03c7\u03b5\u03af\u03c1\u03b7\u03c3\u03b7:<\/strong> \u03c4\u03bf \u03b5\u03bd\u03b4\u03b9\u03b1\u03c6\u03ad\u03c1\u03bf\u03bd \u03c4\u03bf\u03c5 FedOPAL \u03b4\u03b5\u03bd \u03b5\u03af\u03bd\u03b1\u03b9 \u03cc\u03c4\u03b9 \u00ab\u03bc\u03bf\u03b9\u03c1\u03ac\u03b6\u03b5\u03b9 AI \u03c7\u03c9\u03c1\u03af\u03c2 \u03ba\u03cc\u03c3\u03c4\u03bf\u03c2\u00bb, \u03b1\u03bb\u03bb\u03ac \u03cc\u03c4\u03b9 \u03b1\u03bb\u03bb\u03ac\u03b6\u03b5\u03b9 \u03c4\u03bf \u03c3\u03b7\u03bc\u03b5\u03af\u03bf \u03c3\u03c5\u03bc\u03c6\u03cc\u03c1\u03b7\u03c3\u03b7\u03c2. \u039b\u03b9\u03b3\u03cc\u03c4\u03b5\u03c1\u03b5\u03c2 \u03b1\u03bd\u03c4\u03b1\u03bb\u03bb\u03b1\u03b3\u03ad\u03c2 \u03bc\u03b5 \u03c4\u03bf\u03bd server \u03c3\u03b7\u03bc\u03b1\u03af\u03bd\u03bf\u03c5\u03bd \u03bc\u03b5\u03b3\u03b1\u03bb\u03cd\u03c4\u03b5\u03c1\u03b7 \u03ad\u03bc\u03c6\u03b1\u03c3\u03b7 \u03c3\u03c4\u03b7\u03bd \u03c0\u03bf\u03b9\u03cc\u03c4\u03b7\u03c4\u03b1 \u03c4\u03c9\u03bd \u03c4\u03bf\u03c0\u03b9\u03ba\u03ce\u03bd features, \u03c3\u03c4\u03b7\u03bd \u03b1\u03c3\u03c6\u03ac\u03bb\u03b5\u03b9\u03b1 \u03c4\u03c9\u03bd \u03c3\u03c4\u03b1\u03c4\u03b9\u03c3\u03c4\u03b9\u03ba\u03ce\u03bd \u03c0\u03bf\u03c5 \u03bc\u03b5\u03c4\u03b1\u03b4\u03af\u03b4\u03bf\u03bd\u03c4\u03b1\u03b9, \u03c3\u03c4\u03b7 \u03c3\u03c5\u03bc\u03b2\u03b1\u03c4\u03cc\u03c4\u03b7\u03c4\u03b1 \u03c4\u03bf\u03c5 backbone \u03bc\u03b5 \u03c4\u03bf \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03cc domain \u03ba\u03b1\u03b9 \u03c3\u03b5 \u03b1\u03c5\u03c3\u03c4\u03b7\u03c1\u03cc shadow pilot.<\/p>\n<\/div>\n<div class=\"td-article-toc\">\n<div class=\"td-toc-title\">Contents<\/div>\n<ul>\n<li><a href=\"#ti-einai-fedopal\">\u03a4\u03b9 \u03b5\u03af\u03bd\u03b1\u03b9 \u03c4\u03bf FedOPAL \u03bc\u03b5 \u03bc\u03af\u03b1 \u03c0\u03c1\u03cc\u03c4\u03b1\u03c3\u03b7<\/a><\/li>\n<li><a href=\"#giati-one-shot-federated-learning\">\u0393\u03b9\u03b1\u03c4\u03af \u03c4\u03bf one-shot federated learning \u03ad\u03c7\u03b5\u03b9 \u03b5\u03c0\u03b9\u03c7\u03b5\u03b9\u03c1\u03b7\u03bc\u03b1\u03c4\u03b9\u03ba\u03cc \u03b5\u03bd\u03b4\u03b9\u03b1\u03c6\u03ad\u03c1\u03bf\u03bd<\/a><\/li>\n<li><a href=\"#pos-leitourgei-fedopal\">\u03a0\u03ce\u03c2 \u03bb\u03b5\u03b9\u03c4\u03bf\u03c5\u03c1\u03b3\u03b5\u03af \u03c4\u03bf FedOPAL<\/a><\/li>\n<li><a href=\"#ti-edeixan-peiramata\">\u03a4\u03b9 \u03ad\u03b4\u03b5\u03b9\u03be\u03b1\u03bd \u03c4\u03b1 \u03c0\u03b5\u03b9\u03c1\u03ac\u03bc\u03b1\u03c4\u03b1<\/a><\/li>\n<li><a href=\"#pou-ysterei-fedopal\">\u03a0\u03bf\u03cd \u03c4\u03bf FedOPAL \u03c5\u03c3\u03c4\u03b5\u03c1\u03b5\u03af<\/a><\/li>\n<li><a href=\"#idiotikotita-kai-asfaleia\">\u0399\u03b4\u03b9\u03c9\u03c4\u03b9\u03ba\u03cc\u03c4\u03b7\u03c4\u03b1 \u03ba\u03b1\u03b9 \u03b1\u03c3\u03c6\u03ac\u03bb\u03b5\u03b9\u03b1: \u03c4\u03b9 \u03c0\u03c1\u03bf\u03c3\u03c4\u03b1\u03c4\u03b5\u03cd\u03b5\u03b9 \u03ba\u03b1\u03b9 \u03c4\u03b9 \u03cc\u03c7\u03b9<\/a><\/li>\n<li><a href=\"#epicheirimatikes-efarmoges\">\u03a0\u03bf\u03cd \u03b8\u03b1 \u03bc\u03c0\u03bf\u03c1\u03bf\u03cd\u03c3\u03b5 \u03bd\u03b1 \u03b4\u03bf\u03ba\u03b9\u03bc\u03b1\u03c3\u03c4\u03b5\u03af \u03c3\u03b5 \u03b5\u03c0\u03b9\u03c7\u03b5\u03b9\u03c1\u03ae\u03c3\u03b5\u03b9\u03c2<\/a><\/li>\n<li><a href=\"#axiopisto-pilot\">\u03a0\u03ce\u03c2 \u03c3\u03c4\u03ae\u03bd\u03b5\u03c4\u03b1\u03b9 \u03ad\u03bd\u03b1 \u03b1\u03be\u03b9\u03cc\u03c0\u03b9\u03c3\u03c4\u03bf pilot<\/a><\/li>\n<li><a href=\"#elegchos-promithefti\">\u03a4\u03b9 \u03bd\u03b1 \u03b6\u03b7\u03c4\u03ae\u03c3\u03b5\u03b9 \u03bc\u03b9\u03b1 \u03b5\u03c0\u03b9\u03c7\u03b5\u03af\u03c1\u03b7\u03c3\u03b7 \u03b1\u03c0\u03cc \u03c0\u03c1\u03bf\u03bc\u03b7\u03b8\u03b5\u03c5\u03c4\u03ae<\/a><\/li>\n<li><a href=\"#symperasma\">\u03a4\u03bf \u03c3\u03c5\u03bc\u03c0\u03ad\u03c1\u03b1\u03c3\u03bc\u03b1 \u03b3\u03b9\u03b1 decision makers<\/a><\/li>\n<\/ul>\n<\/div>\n<h2 id=\"ti-einai-fedopal\">\u03a4\u03b9 \u03b5\u03af\u03bd\u03b1\u03b9 \u03c4\u03bf FedOPAL \u03bc\u03b5 \u03bc\u03af\u03b1 \u03c0\u03c1\u03cc\u03c4\u03b1\u03c3\u03b7<\/h2>\n<p>The <em>FedOPAL: One-Shot Federated Learning via Analytic Visual Prompt Tuning<\/em> \u03c0\u03c1\u03bf\u03c4\u03b5\u03af\u03bd\u03b5\u03b9 \u03ad\u03bd\u03b1\u03bd \u03c4\u03c1\u03cc\u03c0\u03bf \u03bd\u03b1 \u03c3\u03c5\u03bd\u03b5\u03c1\u03b3\u03ac\u03b6\u03bf\u03bd\u03c4\u03b1\u03b9 \u03c0\u03bf\u03bb\u03bb\u03bf\u03af edge clients \u03c3\u03b5 \u03bc\u03b9\u03b1 \u03b5\u03c1\u03b3\u03b1\u03c3\u03af\u03b1 \u03c4\u03b1\u03be\u03b9\u03bd\u03cc\u03bc\u03b7\u03c3\u03b7\u03c2 \u03b5\u03b9\u03ba\u03cc\u03bd\u03c9\u03bd \u03c7\u03c9\u03c1\u03af\u03c2 \u03bd\u03b1 \u03b1\u03bd\u03c4\u03b1\u03bb\u03bb\u03ac\u03c3\u03c3\u03bf\u03c5\u03bd \u03b5\u03c0\u03b1\u03bd\u03b5\u03b9\u03bb\u03b7\u03bc\u03bc\u03ad\u03bd\u03b1 \u03bf\u03bb\u03cc\u03ba\u03bb\u03b7\u03c1\u03bf \u03c4\u03bf \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf. \u0397 \u03b5\u03c1\u03b3\u03b1\u03c3\u03af\u03b1 \u03ba\u03b1\u03c4\u03b1\u03c4\u03ad\u03b8\u03b7\u03ba\u03b5 \u03c3\u03c4\u03bf arXiv \u03c3\u03c4\u03b9\u03c2 9 \u0399\u03bf\u03c5\u03bb\u03af\u03bf\u03c5 2026, \u03b5\u03bc\u03c6\u03b1\u03bd\u03af\u03b6\u03b5\u03c4\u03b1\u03b9 \u03c9\u03c2 \u03b1\u03c0\u03bf\u03b4\u03b5\u03ba\u03c4\u03ae \u03c3\u03c4\u03bf FLICS 2026 \u03ba\u03b1\u03b9 \u03c3\u03c5\u03bd\u03bf\u03b4\u03b5\u03cd\u03b5\u03c4\u03b1\u03b9 \u03b1\u03c0\u03cc \u03b5\u03c0\u03af\u03c3\u03b7\u03bc\u03bf repository \u03c4\u03c9\u03bd \u03c3\u03c5\u03b3\u03b3\u03c1\u03b1\u03c6\u03ad\u03c9\u03bd.<\/p>\n<p>\u0397 \u03b2\u03b1\u03c3\u03b9\u03ba\u03ae \u03b9\u03b4\u03ad\u03b1 \u03b5\u03af\u03bd\u03b1\u03b9 \u03ad\u03bd\u03b1\u03c2 \u03b4\u03b9\u03b1\u03c7\u03c9\u03c1\u03b9\u03c3\u03bc\u03cc\u03c2 \u03c1\u03cc\u03bb\u03c9\u03bd. \u03a3\u03c4\u03bf\u03bd client \u03c0\u03c1\u03bf\u03c3\u03b1\u03c1\u03bc\u03cc\u03b6\u03bf\u03bd\u03c4\u03b1\u03b9 \u03b5\u03bb\u03b1\u03c6\u03c1\u03b9\u03ac visual prompt tokens \u03c0\u03bf\u03c5 \u03ba\u03b1\u03c4\u03b5\u03c5\u03b8\u03cd\u03bd\u03bf\u03c5\u03bd \u03c4\u03bf \u03c0\u03b1\u03b3\u03c9\u03bc\u03ad\u03bd\u03bf vision-language backbone \u03c0\u03c1\u03bf\u03c2 \u03c4\u03b1 \u03c4\u03bf\u03c0\u03b9\u03ba\u03ac \u03b4\u03b5\u03b4\u03bf\u03bc\u03ad\u03bd\u03b1. \u03a3\u03c4\u03bf\u03bd server \u03b4\u03b5\u03bd \u03b3\u03af\u03bd\u03b5\u03c4\u03b1\u03b9 \u03b5\u03c0\u03b1\u03bd\u03b1\u03bb\u03b7\u03c0\u03c4\u03b9\u03ba\u03ae \u03b5\u03ba\u03c0\u03b1\u03af\u03b4\u03b5\u03c5\u03c3\u03b7: \u03b1\u03b8\u03c1\u03bf\u03af\u03b6\u03bf\u03bd\u03c4\u03b1\u03b9 \u03c4\u03b1 \u03c3\u03c4\u03b1\u03c4\u03b9\u03c3\u03c4\u03b9\u03ba\u03ac \u03c4\u03c9\u03bd clients \u03ba\u03b1\u03b9 \u03bb\u03cd\u03bd\u03b5\u03c4\u03b1\u03b9 \u03ad\u03bd\u03b1\u03c2 regularized least-squares classifier \u03c3\u03b5 \u03ba\u03bb\u03b5\u03b9\u03c3\u03c4\u03ae \u03bc\u03bf\u03c1\u03c6\u03ae.<\/p>\n<p>\u03a4\u03bf \u00abvisual prompt\u00bb \u03b5\u03b4\u03ce \u03b4\u03b5\u03bd \u03b5\u03af\u03bd\u03b1\u03b9 \u03ba\u03b5\u03af\u03bc\u03b5\u03bd\u03bf \u03c0\u03bf\u03c5 \u03b3\u03c1\u03ac\u03c6\u03b5\u03b9 \u03bf \u03c7\u03c1\u03ae\u03c3\u03c4\u03b7\u03c2 \u03ba\u03b1\u03b9 \u03b4\u03b5\u03bd \u03b5\u03af\u03bd\u03b1\u03b9 \u03b3\u03c1\u03b1\u03c6\u03b9\u03ba\u03cc \u03c0\u03ac\u03bd\u03c9 \u03c3\u03c4\u03b7\u03bd \u03b5\u03b9\u03ba\u03cc\u03bd\u03b1. \u0395\u03af\u03bd\u03b1\u03b9 \u03ad\u03bd\u03b1 \u03bc\u03b9\u03ba\u03c1\u03cc \u03c3\u03cd\u03bd\u03bf\u03bb\u03bf \u03c3\u03c5\u03bd\u03b5\u03c7\u03ce\u03bd, \u03b5\u03ba\u03c0\u03b1\u03b9\u03b4\u03b5\u03cd\u03c3\u03b9\u03bc\u03c9\u03bd embeddings \u03c0\u03bf\u03c5 \u03b5\u03b9\u03c3\u03ac\u03b3\u03bf\u03bd\u03c4\u03b1\u03b9 \u03c3\u03c4\u03b7\u03bd \u03b1\u03ba\u03bf\u03bb\u03bf\u03c5\u03b8\u03af\u03b1 \u03c4\u03bf\u03c5 Vision Transformer. \u03a3\u03c4\u03cc\u03c7\u03bf\u03c2 \u03c4\u03bf\u03c5\u03c2 \u03b5\u03af\u03bd\u03b1\u03b9 \u03bd\u03b1 \u03b4\u03b9\u03bf\u03c1\u03b8\u03ce\u03c3\u03bf\u03c5\u03bd \u03c4\u03bf feature space \u03c0\u03c1\u03b9\u03bd \u03b5\u03c6\u03b1\u03c1\u03bc\u03bf\u03c3\u03c4\u03b5\u03af \u03bf \u03b3\u03c1\u03b1\u03bc\u03bc\u03b9\u03ba\u03cc\u03c2 \u03c4\u03b1\u03be\u03b9\u03bd\u03bf\u03bc\u03b7\u03c4\u03ae\u03c2.<\/p>\n<h2 id=\"giati-one-shot-federated-learning\">\u0393\u03b9\u03b1\u03c4\u03af \u03c4\u03bf one-shot federated learning \u03ad\u03c7\u03b5\u03b9 \u03b5\u03c0\u03b9\u03c7\u03b5\u03b9\u03c1\u03b7\u03bc\u03b1\u03c4\u03b9\u03ba\u03cc \u03b5\u03bd\u03b4\u03b9\u03b1\u03c6\u03ad\u03c1\u03bf\u03bd<\/h2>\n<p>\u03a3\u03c4\u03bf \u03ba\u03bb\u03b1\u03c3\u03b9\u03ba\u03cc federated learning, \u03bf\u03b9 clients \u03b5\u03ba\u03c0\u03b1\u03b9\u03b4\u03b5\u03cd\u03bf\u03c5\u03bd \u03c4\u03bf\u03c0\u03b9\u03ba\u03ac \u03ad\u03bd\u03b1 \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf, \u03c3\u03c4\u03ad\u03bb\u03bd\u03bf\u03c5\u03bd updates, \u03bf server \u03c4\u03b1 \u03c3\u03c5\u03b3\u03ba\u03b5\u03bd\u03c4\u03c1\u03ce\u03bd\u03b5\u03b9 \u03ba\u03b1\u03b9 \u03bf \u03ba\u03cd\u03ba\u03bb\u03bf\u03c2 \u03b5\u03c0\u03b1\u03bd\u03b1\u03bb\u03b1\u03bc\u03b2\u03ac\u03bd\u03b5\u03c4\u03b1\u03b9. \u038c\u03c4\u03b1\u03bd \u03bf\u03b9 \u03c3\u03c5\u03c3\u03ba\u03b5\u03c5\u03ad\u03c2 \u03b2\u03c1\u03af\u03c3\u03ba\u03bf\u03bd\u03c4\u03b1\u03b9 \u03c3\u03b5 \u03ba\u03b1\u03c4\u03b1\u03c3\u03c4\u03ae\u03bc\u03b1\u03c4\u03b1, \u03b3\u03c1\u03b1\u03bc\u03bc\u03ad\u03c2 \u03c0\u03b1\u03c1\u03b1\u03b3\u03c9\u03b3\u03ae\u03c2, \u03b1\u03c0\u03bf\u03b8\u03ae\u03ba\u03b5\u03c2 \u03ae \u03b1\u03c0\u03bf\u03bc\u03b1\u03ba\u03c1\u03c5\u03c3\u03bc\u03ad\u03bd\u03b5\u03c2 \u03b5\u03b3\u03ba\u03b1\u03c4\u03b1\u03c3\u03c4\u03ac\u03c3\u03b5\u03b9\u03c2, \u03ba\u03ac\u03b8\u03b5 \u03b3\u03cd\u03c1\u03bf\u03c2 \u03c0\u03c1\u03bf\u03c3\u03b8\u03ad\u03c4\u03b5\u03b9 bandwidth, latency, \u03c0\u03b9\u03b8\u03b1\u03bd\u03cc\u03c4\u03b7\u03c4\u03b5\u03c2 \u03b1\u03c0\u03bf\u03c3\u03cd\u03bd\u03b4\u03b5\u03c3\u03b7\u03c2 \u03ba\u03b1\u03b9 \u03bb\u03b5\u03b9\u03c4\u03bf\u03c5\u03c1\u03b3\u03b9\u03ba\u03ae \u03c0\u03bf\u03bb\u03c5\u03c0\u03bb\u03bf\u03ba\u03cc\u03c4\u03b7\u03c4\u03b1.<\/p>\n<p>\u039c\u03b9\u03b1 one-shot \u03c0\u03c1\u03bf\u03c3\u03ad\u03b3\u03b3\u03b9\u03c3\u03b7 \u03c3\u03c5\u03bc\u03c0\u03b9\u03ad\u03b6\u03b5\u03b9 \u03b1\u03c5\u03c4\u03ae \u03c4\u03b7 \u03c3\u03c5\u03bd\u03b5\u03c1\u03b3\u03b1\u03c3\u03af\u03b1 \u03c3\u03b5 \u03ad\u03bd\u03b1\u03bd \u03b3\u03cd\u03c1\u03bf. \u0391\u03c5\u03c4\u03cc \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03b5\u03af\u03bd\u03b1\u03b9 \u03c7\u03c1\u03ae\u03c3\u03b9\u03bc\u03bf \u03cc\u03c0\u03bf\u03c5 \u03c4\u03bf \u03b4\u03af\u03ba\u03c4\u03c5\u03bf \u03b5\u03af\u03bd\u03b1\u03b9 \u03b1\u03c3\u03c4\u03b1\u03b8\u03ad\u03c2, \u03bf\u03b9 \u03c3\u03c5\u03c3\u03ba\u03b5\u03c5\u03ad\u03c2 \u03b4\u03b5\u03bd \u03b5\u03af\u03bd\u03b1\u03b9 \u03c3\u03c5\u03bd\u03b5\u03c7\u03ce\u03c2 online \u03ae \u03c4\u03bf \u03bb\u03b5\u03b9\u03c4\u03bf\u03c5\u03c1\u03b3\u03b9\u03ba\u03cc \u03c0\u03b1\u03c1\u03ac\u03b8\u03c5\u03c1\u03bf \u03b3\u03b9\u03b1 \u03c3\u03c5\u03b3\u03c7\u03c1\u03bf\u03bd\u03b9\u03c3\u03bc\u03cc \u03b5\u03af\u03bd\u03b1\u03b9 \u03bc\u03b9\u03ba\u03c1\u03cc. \u0397 \u03b1\u03be\u03af\u03b1 \u03b5\u03af\u03bd\u03b1\u03b9 \u03b9\u03b4\u03b9\u03b1\u03af\u03c4\u03b5\u03c1\u03b1 \u03c3\u03b1\u03c6\u03ae\u03c2 \u03c3\u03b5 <a href=\"https:\/\/twodots.gr\/to-sensorgpt-tis-tdk-meionei-drastika-ton-chrono-anaptyxis-edge-ai-me-genetiki-techniti-noimosyni\/\">edge AI \u03ad\u03c1\u03b3\u03b1 \u03bc\u03b5 \u03b1\u03b9\u03c3\u03b8\u03b7\u03c4\u03ae\u03c1\u03b5\u03c2 \u03ba\u03b1\u03b9 \u03c4\u03bf\u03c0\u03b9\u03ba\u03ae \u03b5\u03c0\u03b5\u03be\u03b5\u03c1\u03b3\u03b1\u03c3\u03af\u03b1<\/a>, \u03cc\u03c0\u03bf\u03c5 \u03c4\u03bf cloud \u03b4\u03b5\u03bd \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03b1\u03c0\u03bf\u03c4\u03b5\u03bb\u03b5\u03af \u03c0\u03c1\u03bf\u03cb\u03c0\u03cc\u03b8\u03b5\u03c3\u03b7 \u03b3\u03b9\u03b1 \u03ba\u03ac\u03b8\u03b5 inference.<\/p>\n<div class=\"td-comparison\">\n<p class=\"td-comparison-title\">\u03a0\u03bf\u03bb\u03bb\u03bf\u03af \u03b3\u03cd\u03c1\u03bf\u03b9 \u03ae \u03bc\u03af\u03b1 \u03b1\u03bd\u03b1\u03bb\u03c5\u03c4\u03b9\u03ba\u03ae \u03c3\u03c5\u03b3\u03ba\u03ad\u03bd\u03c4\u03c1\u03c9\u03c3\u03b7;<\/p>\n<div class=\"td-comparison-grid td-comparison-grid--two\">\n<div class=\"td-comparison-card\">\n<p class=\"td-comparison-kicker\">Iterative federated learning<\/p>\n<h3>\u0395\u03c0\u03b1\u03bd\u03b1\u03bb\u03b1\u03bc\u03b2\u03b1\u03bd\u03cc\u03bc\u03b5\u03bd\u03b1 local updates<\/h3>\n<p>\u039f\u03b9 clients \u03ba\u03b1\u03b9 \u03bf server \u03c3\u03c5\u03b3\u03c7\u03c1\u03bf\u03bd\u03af\u03b6\u03bf\u03bd\u03c4\u03b1\u03b9 \u03c0\u03bf\u03bb\u03bb\u03ad\u03c2 \u03c6\u03bf\u03c1\u03ad\u03c2 \u03bc\u03ad\u03c7\u03c1\u03b9 \u03bd\u03b1 \u03c3\u03c5\u03b3\u03ba\u03bb\u03af\u03bd\u03b5\u03b9 \u03c4\u03bf \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf. \u0397 \u03bc\u03ad\u03b8\u03bf\u03b4\u03bf\u03c2 \u03b5\u03af\u03bd\u03b1\u03b9 \u03b5\u03c5\u03ad\u03bb\u03b9\u03ba\u03c4\u03b7, \u03b1\u03bb\u03bb\u03ac \u03b5\u03c0\u03b9\u03b2\u03b1\u03c1\u03cd\u03bd\u03b5\u03b9 \u03b4\u03af\u03ba\u03c4\u03c5\u03bf, orchestration \u03ba\u03b1\u03b9 \u03c7\u03b5\u03b9\u03c1\u03b9\u03c3\u03bc\u03cc stragglers.<\/p>\n<ul>\n<li>\u03a0\u03bf\u03bb\u03bb\u03b1\u03c0\u03bb\u03bf\u03af \u03b3\u03cd\u03c1\u03bf\u03b9 \u03b5\u03c0\u03b9\u03ba\u03bf\u03b9\u03bd\u03c9\u03bd\u03af\u03b1\u03c2<\/li>\n<li>\u0395\u03c0\u03b1\u03bd\u03b1\u03bb\u03b7\u03c0\u03c4\u03b9\u03ba\u03ae \u03b2\u03b5\u03bb\u03c4\u03b9\u03c3\u03c4\u03bf\u03c0\u03bf\u03af\u03b7\u03c3\u03b7<\/li>\n<li>\u039c\u03b5\u03b3\u03b1\u03bb\u03cd\u03c4\u03b5\u03c1\u03b7 \u03b5\u03c5\u03b1\u03b9\u03c3\u03b8\u03b7\u03c3\u03af\u03b1 \u03c3\u03b5 \u03b4\u03b9\u03b1\u03ba\u03bf\u03c0\u03ad\u03c2<\/li>\n<\/ul>\n<\/div>\n<div class=\"td-comparison-card\">\n<p class=\"td-comparison-kicker\">FedOPAL<\/p>\n<h3>\u039c\u03af\u03b1 \u03b1\u03c0\u03bf\u03c3\u03c4\u03bf\u03bb\u03ae prompts \u03ba\u03b1\u03b9 \u03c3\u03c4\u03b1\u03c4\u03b9\u03c3\u03c4\u03b9\u03ba\u03ce\u03bd<\/h3>\n<p>\u039f\u03b9 clients \u03b4\u03b9\u03bf\u03c1\u03b8\u03ce\u03bd\u03bf\u03c5\u03bd \u03c4\u03bf\u03c0\u03b9\u03ba\u03ac \u03c4\u03b1 features, \u03b1\u03c0\u03bf\u03c3\u03c4\u03ad\u03bb\u03bb\u03bf\u03c5\u03bd prompts \u03ba\u03b1\u03b9 sufficient statistics \u03ba\u03b1\u03b9 \u03bf server \u03bb\u03cd\u03bd\u03b5\u03b9 \u03b1\u03bd\u03b1\u03bb\u03c5\u03c4\u03b9\u03ba\u03ac \u03c4\u03bf\u03bd classifier \u03c7\u03c9\u03c1\u03af\u03c2 iterative server training.<\/p>\n<ul>\n<li>\u0388\u03bd\u03b1\u03c2 \u03b3\u03cd\u03c1\u03bf\u03c2 \u03c3\u03c5\u03b3\u03ba\u03ad\u03bd\u03c4\u03c1\u03c9\u03c3\u03b7\u03c2<\/li>\n<li>\u03a0\u03b1\u03b3\u03c9\u03bc\u03ad\u03bd\u03bf CLIP backbone<\/li>\n<li>\u039a\u03bb\u03b5\u03b9\u03c3\u03c4\u03ae\u03c2 \u03bc\u03bf\u03c1\u03c6\u03ae\u03c2 global classifier<\/li>\n<\/ul>\n<\/div>\n<\/div>\n<\/div>\n<p>\u0397 \u03bc\u03b5\u03af\u03c9\u03c3\u03b7 \u03b5\u03c0\u03b9\u03ba\u03bf\u03b9\u03bd\u03c9\u03bd\u03af\u03b1\u03c2 \u03b4\u03b5\u03bd \u03b5\u03be\u03b1\u03c6\u03b1\u03bd\u03af\u03b6\u03b5\u03b9 \u03cc\u03bc\u03c9\u03c2 \u03c4\u03bf \u03c5\u03c0\u03cc\u03bb\u03bf\u03b9\u03c0\u03bf \u03ba\u03cc\u03c3\u03c4\u03bf\u03c2. \u039f\u03b9 clients \u03b5\u03be\u03b1\u03ba\u03bf\u03bb\u03bf\u03c5\u03b8\u03bf\u03cd\u03bd \u03bd\u03b1 \u03ba\u03ac\u03bd\u03bf\u03c5\u03bd local optimization \u03c4\u03c9\u03bd prompts, \u03c4\u03bf backbone \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03c7\u03c9\u03c1\u03ac \u03ba\u03b1\u03b9 \u03bd\u03b1 \u03b5\u03ba\u03c4\u03b5\u03bb\u03b5\u03af\u03c4\u03b1\u03b9 \u03c3\u03c4\u03bf \u03b4\u03b9\u03b1\u03b8\u03ad\u03c3\u03b9\u03bc\u03bf hardware \u03ba\u03b1\u03b9 \u03b7 \u03bf\u03bc\u03ac\u03b4\u03b1 \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03b4\u03b9\u03b1\u03c7\u03b5\u03b9\u03c1\u03af\u03b6\u03b5\u03c4\u03b1\u03b9 versions, participation, failures \u03ba\u03b1\u03b9 drift. \u0393\u03b9\u03b1 \u03b1\u03c5\u03c4\u03cc \u03ad\u03bd\u03b1 edge AI \u03c0\u03b5\u03af\u03c1\u03b1\u03bc\u03b1 \u03c7\u03c1\u03b5\u03b9\u03ac\u03b6\u03b5\u03c4\u03b1\u03b9 \u03c4\u03b7\u03bd \u03af\u03b4\u03b9\u03b1 \u03bb\u03b5\u03b9\u03c4\u03bf\u03c5\u03c1\u03b3\u03b9\u03ba\u03ae \u03c0\u03b5\u03b9\u03b8\u03b1\u03c1\u03c7\u03af\u03b1 \u03bc\u03b5 \u03ba\u03ac\u03b8\u03b5 <a href=\"https:\/\/twodots.gr\/automation-robotics-ai-business\/\">automation \u03ba\u03b1\u03b9 AI \u03ad\u03c1\u03b3\u03bf \u03c0\u03bf\u03c5 \u03c3\u03c5\u03bd\u03b4\u03ad\u03b5\u03c4\u03b1\u03b9 \u03bc\u03b5 \u03c6\u03c5\u03c3\u03b9\u03ba\u03ad\u03c2 \u03b4\u03b9\u03b1\u03b4\u03b9\u03ba\u03b1\u03c3\u03af\u03b5\u03c2<\/a>.<\/p>\n<h2 id=\"pos-leitourgei-fedopal\">\u03a0\u03ce\u03c2 \u03bb\u03b5\u03b9\u03c4\u03bf\u03c5\u03c1\u03b3\u03b5\u03af \u03c4\u03bf FedOPAL<\/h2>\n<p>\u03a3\u03c4\u03b7\u03bd \u03c4\u03bf\u03c0\u03b9\u03ba\u03ae \u03c6\u03ac\u03c3\u03b7 \u03ba\u03ac\u03b8\u03b5 client \u03be\u03b5\u03ba\u03b9\u03bd\u03ac \u03b1\u03c0\u03cc \u03c4\u03bf \u03af\u03b4\u03b9\u03bf \u03c0\u03c1\u03bf\u03b5\u03ba\u03c0\u03b1\u03b9\u03b4\u03b5\u03c5\u03bc\u03ad\u03bd\u03bf CLIP ViT-B\/16. \u03a4\u03b1 \u03b2\u03ac\u03c1\u03b7 \u03c4\u03bf\u03c5 backbone \u03c0\u03b1\u03c1\u03b1\u03bc\u03ad\u03bd\u03bf\u03c5\u03bd \u03c0\u03b1\u03b3\u03c9\u03bc\u03ad\u03bd\u03b1 \u03ba\u03b1\u03b9 \u03b5\u03ba\u03c0\u03b1\u03b9\u03b4\u03b5\u03cd\u03bf\u03bd\u03c4\u03b1\u03b9 \u03bc\u03cc\u03bd\u03bf \u03c4\u03b1 visual prompt tokens. \u0388\u03bd\u03b1\u03c2 proximal \u03c0\u03b5\u03c1\u03b9\u03bf\u03c1\u03b9\u03c3\u03bc\u03cc\u03c2 \u03ba\u03c1\u03b1\u03c4\u03ac \u03c4\u03b1 \u03c4\u03bf\u03c0\u03b9\u03ba\u03ac prompts \u03ba\u03bf\u03bd\u03c4\u03ac \u03c3\u03b5 \u03ba\u03bf\u03b9\u03bd\u03cc anchor, \u03ce\u03c3\u03c4\u03b5 \u03b7 \u03c0\u03c1\u03bf\u03c3\u03b1\u03c1\u03bc\u03bf\u03b3\u03ae \u03bd\u03b1 \u03bc\u03b7 \u03b4\u03b9\u03b1\u03bb\u03cd\u03c3\u03b5\u03b9 \u03c4\u03b7\u03bd \u03ba\u03bf\u03b9\u03bd\u03ae \u03c3\u03b7\u03bc\u03b1\u03c3\u03b9\u03bf\u03bb\u03bf\u03b3\u03b9\u03ba\u03ae \u03b2\u03ac\u03c3\u03b7.<\/p>\n<p>\u039c\u03cc\u03bb\u03b9\u03c2 \u03bf\u03bb\u03bf\u03ba\u03bb\u03b7\u03c1\u03c9\u03b8\u03b5\u03af \u03b1\u03c5\u03c4\u03ae \u03b7 \u03b5\u03bb\u03b1\u03c6\u03c1\u03b9\u03ac \u03c0\u03c1\u03bf\u03c3\u03b1\u03c1\u03bc\u03bf\u03b3\u03ae, \u03bf client \u03c0\u03b5\u03c1\u03bd\u03ac \u03c4\u03b1 \u03c4\u03bf\u03c0\u03b9\u03ba\u03ac \u03b4\u03b5\u03af\u03b3\u03bc\u03b1\u03c4\u03b1 \u03b1\u03c0\u03cc \u03c4\u03bf prompt-augmented backbone \u03ba\u03b1\u03b9 \u03c5\u03c0\u03bf\u03bb\u03bf\u03b3\u03af\u03b6\u03b5\u03b9 \u03b4\u03cd\u03bf sufficient-statistics matrices. \u039f\u03b9 \u03c0\u03af\u03bd\u03b1\u03ba\u03b5\u03c2 \u03c3\u03c5\u03bd\u03bf\u03c8\u03af\u03b6\u03bf\u03c5\u03bd \u03c3\u03c5\u03c3\u03c7\u03b5\u03c4\u03af\u03c3\u03b5\u03b9\u03c2 \u03c7\u03b1\u03c1\u03b1\u03ba\u03c4\u03b7\u03c1\u03b9\u03c3\u03c4\u03b9\u03ba\u03ce\u03bd \u03ba\u03b1\u03b9 \u03c3\u03c7\u03ad\u03c3\u03b5\u03b9\u03c2 \u03c7\u03b1\u03c1\u03b1\u03ba\u03c4\u03b7\u03c1\u03b9\u03c3\u03c4\u03b9\u03ba\u03ce\u03bd \u03bc\u03b5 labels. \u039f\u03b9 \u03b1\u03c1\u03c7\u03b9\u03ba\u03ad\u03c2 \u03b5\u03b9\u03ba\u03cc\u03bd\u03b5\u03c2 \u03b4\u03b5\u03bd \u03b1\u03c0\u03bf\u03c3\u03c4\u03ad\u03bb\u03bb\u03bf\u03bd\u03c4\u03b1\u03b9 \u03c3\u03c4\u03bf\u03bd server \u03c3\u03cd\u03bc\u03c6\u03c9\u03bd\u03b1 \u03bc\u03b5 \u03c4\u03bf\u03bd \u03c3\u03c7\u03b5\u03b4\u03b9\u03b1\u03c3\u03bc\u03cc \u03c4\u03bf\u03c5 paper.<\/p>\n<p>\u03a3\u03c4\u03b7 server \u03c6\u03ac\u03c3\u03b7 \u03b3\u03af\u03bd\u03bf\u03bd\u03c4\u03b1\u03b9 \u03b4\u03cd\u03bf \u03c3\u03c5\u03b3\u03ba\u03b5\u03bd\u03c4\u03c1\u03ce\u03c3\u03b5\u03b9\u03c2. \u03a0\u03c1\u03ce\u03c4\u03bf\u03bd, \u03c4\u03b1 \u03c4\u03bf\u03c0\u03b9\u03ba\u03ac prompt tokens \u03c5\u03c0\u03bf\u03bb\u03bf\u03b3\u03af\u03b6\u03bf\u03bd\u03c4\u03b1\u03b9 \u03ba\u03b1\u03c4\u03ac \u03bc\u03ad\u03c3\u03bf \u03cc\u03c1\u03bf \u03b3\u03b9\u03b1 \u03bd\u03b1 \u03c3\u03c7\u03b7\u03bc\u03b1\u03c4\u03b9\u03c3\u03c4\u03b5\u03af \u03ad\u03bd\u03b1 global prompt. \u0394\u03b5\u03cd\u03c4\u03b5\u03c1\u03bf\u03bd, \u03bf\u03b9 \u03c3\u03c4\u03b1\u03c4\u03b9\u03c3\u03c4\u03b9\u03ba\u03bf\u03af \u03c0\u03af\u03bd\u03b1\u03ba\u03b5\u03c2 \u03b1\u03b8\u03c1\u03bf\u03af\u03b6\u03bf\u03bd\u03c4\u03b1\u03b9 \u03ba\u03b1\u03b9 \u03c7\u03c1\u03b7\u03c3\u03b9\u03bc\u03bf\u03c0\u03bf\u03b9\u03bf\u03cd\u03bd\u03c4\u03b1\u03b9 \u03c3\u03c4\u03b7 \u03bb\u03cd\u03c3\u03b7 regularized least squares \u03b3\u03b9\u03b1 \u03c4\u03bf\u03bd global classifier. \u039a\u03b1\u03c4\u03ac \u03c4\u03bf inference \u03bf client \u03c7\u03c1\u03b7\u03c3\u03b9\u03bc\u03bf\u03c0\u03bf\u03b9\u03b5\u03af \u03c4\u03bf global prompt \u03ba\u03b1\u03b9 \u03c4\u03bf\u03bd global classifier \u03bc\u03b1\u03b6\u03af \u03bc\u03b5 \u03c4\u03bf \u03af\u03b4\u03b9\u03bf frozen backbone.<\/p>\n<p>\u0391\u03c5\u03c4\u03ae \u03b7 \u03b1\u03c1\u03c7\u03b9\u03c4\u03b5\u03ba\u03c4\u03bf\u03bd\u03b9\u03ba\u03ae \u03b5\u03c0\u03b9\u03c7\u03b5\u03b9\u03c1\u03b5\u03af \u03bd\u03b1 \u03b4\u03b9\u03bf\u03c1\u03b8\u03ce\u03c3\u03b5\u03b9 \u03ad\u03bd\u03b1 \u03cc\u03c1\u03b9\u03bf \u03c4\u03bf\u03c5 \u03b1\u03c1\u03c7\u03b9\u03ba\u03bf\u03cd Analytic Federated Learning: \u03b7 \u03b1\u03bd\u03b1\u03bb\u03c5\u03c4\u03b9\u03ba\u03ae \u03bb\u03cd\u03c3\u03b7 \u03b4\u03bf\u03c5\u03bb\u03b5\u03cd\u03b5\u03b9 \u03ba\u03b1\u03bb\u03cd\u03c4\u03b5\u03c1\u03b1 \u03cc\u03c4\u03b1\u03bd \u03c4\u03b1 frozen features \u03b5\u03af\u03bd\u03b1\u03b9 \u03ae\u03b4\u03b7 \u03b4\u03b9\u03b1\u03c7\u03c9\u03c1\u03af\u03c3\u03b9\u03bc\u03b1 \u03ba\u03b1\u03b9 \u03b5\u03c5\u03b8\u03c5\u03b3\u03c1\u03b1\u03bc\u03bc\u03b9\u03c3\u03bc\u03ad\u03bd\u03b1. \u03a4\u03bf FedOPAL \u03b2\u03ac\u03b6\u03b5\u03b9 \u03c4\u03b1 prompts \u03c0\u03c1\u03b9\u03bd \u03b1\u03c0\u03cc \u03c4\u03bf\u03bd classifier \u03ce\u03c3\u03c4\u03b5 \u03bd\u03b1 \u03c0\u03c1\u03bf\u03c3\u03b1\u03c1\u03bc\u03cc\u03c3\u03b5\u03b9 \u03c4\u03bf feature manifold \u03c4\u03c9\u03bd \u03b5\u03c4\u03b5\u03c1\u03bf\u03b3\u03b5\u03bd\u03ce\u03bd clients.<\/p>\n<h2 id=\"ti-edeixan-peiramata\">\u03a4\u03b9 \u03ad\u03b4\u03b5\u03b9\u03be\u03b1\u03bd \u03c4\u03b1 \u03c0\u03b5\u03b9\u03c1\u03ac\u03bc\u03b1\u03c4\u03b1<\/h2>\n<p>\u039f\u03b9 \u03c3\u03c5\u03b3\u03b3\u03c1\u03b1\u03c6\u03b5\u03af\u03c2 \u03b1\u03be\u03b9\u03bf\u03bb\u03cc\u03b3\u03b7\u03c3\u03b1\u03bd \u03c4\u03b7 \u03bc\u03ad\u03b8\u03bf\u03b4\u03bf \u03c3\u03b5 CIFAR-10, CIFAR-100, SVHN \u03ba\u03b1\u03b9 DTD, \u03bc\u03b5 \u03c0\u03c1\u03bf\u03c3\u03bf\u03bc\u03bf\u03b9\u03c9\u03bc\u03ad\u03bd\u03b7 \u03b5\u03c4\u03b5\u03c1\u03bf\u03b3\u03ad\u03bd\u03b5\u03b9\u03b1 \u03bc\u03ad\u03c3\u03c9 Dirichlet partitions. \u0397 \u03b2\u03b1\u03c3\u03b9\u03ba\u03ae \u03c1\u03cd\u03b8\u03bc\u03b9\u03c3\u03b7 \u03b5\u03af\u03c7\u03b5 10 clients, \u03c0\u03ad\u03bd\u03c4\u03b5 local epochs \u03b3\u03b9\u03b1 \u03c4\u03b1 prompts, proximal coefficient \u03bc=0,1 \u03ba\u03b1\u03b9 CLIP ViT-B\/16 backbone. \u038c\u03bb\u03bf\u03b9 \u03bf\u03b9 \u03b1\u03c1\u03b9\u03b8\u03bc\u03bf\u03af \u03c0\u03bf\u03c5 \u03b1\u03ba\u03bf\u03bb\u03bf\u03c5\u03b8\u03bf\u03cd\u03bd \u03b1\u03bd\u03ae\u03ba\u03bf\u03c5\u03bd \u03c3\u03b5 \u03b1\u03c5\u03c4\u03cc \u03c4\u03bf benchmark setup \u03ba\u03b1\u03b9 \u03b4\u03b5\u03bd \u03b5\u03af\u03bd\u03b1\u03b9 \u03bc\u03b5\u03c4\u03c1\u03ae\u03c3\u03b5\u03b9\u03c2 production \u03b5\u03b3\u03ba\u03b1\u03c4\u03ac\u03c3\u03c4\u03b1\u03c3\u03b7\u03c2.<\/p>\n<div class=\"td-chart td-chart--metrics\">\n<p class=\"td-chart-title\">\u03a4\u03bf \u03b2\u03b1\u03c3\u03b9\u03ba\u03cc \u03c0\u03b5\u03b9\u03c1\u03b1\u03bc\u03b1\u03c4\u03b9\u03ba\u03cc \u03c0\u03bb\u03b1\u03af\u03c3\u03b9\u03bf \u03c4\u03bf\u03c5 FedOPAL<\/p>\n<p class=\"td-chart-intro\">\u039f\u03b9 \u03c4\u03b9\u03bc\u03ad\u03c2 \u03c0\u03b5\u03c1\u03b9\u03b3\u03c1\u03ac\u03c6\u03bf\u03c5\u03bd \u03c4\u03bf paper \u03b3\u03b9\u03b1 non-IID \u03ba\u03b1\u03c4\u03b1\u03bd\u03bf\u03bc\u03ae \u03bc\u03b5 \u03b1=0,1, \u03cc\u03c7\u03b9 \u03b5\u03b3\u03b3\u03c5\u03b7\u03bc\u03ad\u03bd\u03b1 \u03b1\u03c0\u03bf\u03c4\u03b5\u03bb\u03ad\u03c3\u03bc\u03b1\u03c4\u03b1 \u03c3\u03b5 \u03b5\u03c4\u03b1\u03b9\u03c1\u03b9\u03ba\u03ac \u03b4\u03b5\u03b4\u03bf\u03bc\u03ad\u03bd\u03b1.<\/p>\n<div class=\"td-metric-grid\">\n<div class=\"td-metric-card\">\n<div class=\"td-metric-value\">1<\/div>\n<div class=\"td-metric-label\">\u03b3\u03cd\u03c1\u03bf\u03c2 \u03b5\u03c0\u03b9\u03ba\u03bf\u03b9\u03bd\u03c9\u03bd\u03af\u03b1\u03c2<\/div>\n<p>\u039c\u03af\u03b1 \u03c3\u03c5\u03b3\u03ba\u03ad\u03bd\u03c4\u03c1\u03c9\u03c3\u03b7 prompts \u03ba\u03b1\u03b9 sufficient statistics \u03b1\u03c0\u03cc \u03c4\u03bf\u03c5\u03c2 clients.<\/p>\n<\/div>\n<div class=\"td-metric-card\">\n<div class=\"td-metric-value\">10<\/div>\n<div class=\"td-metric-label\">\u03c0\u03c1\u03bf\u03c3\u03bf\u03bc\u03bf\u03b9\u03c9\u03bc\u03ad\u03bd\u03bf\u03b9 clients<\/div>\n<p>\u0397 \u03c0\u03c1\u03bf\u03b5\u03c0\u03b9\u03bb\u03b5\u03b3\u03bc\u03ad\u03bd\u03b7 \u03c1\u03cd\u03b8\u03bc\u03b9\u03c3\u03b7 \u03c4\u03c9\u03bd \u03c0\u03b5\u03b9\u03c1\u03b1\u03bc\u03ac\u03c4\u03c9\u03bd \u03c4\u03bf\u03c5 paper.<\/p>\n<\/div>\n<div class=\"td-metric-card\">\n<div class=\"td-metric-value\">93,72%<\/div>\n<div class=\"td-metric-label\">CIFAR-10 accuracy<\/div>\n<p>\u0391\u03c0\u03bf\u03c4\u03ad\u03bb\u03b5\u03c3\u03bc\u03b1 FedOPAL \u03c3\u03c4\u03bf \u03c3\u03c5\u03b3\u03ba\u03b5\u03ba\u03c1\u03b9\u03bc\u03ad\u03bd\u03bf non-IID setup.<\/p>\n<\/div>\n<div class=\"td-metric-card\">\n<div class=\"td-metric-value\">75,51%<\/div>\n<div class=\"td-metric-label\">CIFAR-100 accuracy<\/div>\n<p>\u0391\u03c0\u03bf\u03c4\u03ad\u03bb\u03b5\u03c3\u03bc\u03b1 FedOPAL \u03b3\u03b9\u03b1 \u03b1=0,1 \u03bc\u03b5 \u03c4\u03bf \u03af\u03b4\u03b9\u03bf backbone.<\/p>\n<\/div>\n<\/div>\n<\/div>\n<p>\u03a3\u03c4\u03bf CIFAR-10 \u03bc\u03b5 \u03b1=0,1 \u03c4\u03bf FedOPAL \u03b1\u03bd\u03ad\u03b2\u03b7\u03ba\u03b5 \u03b1\u03c0\u03cc \u03c4\u03bf 82,50% \u03c4\u03bf\u03c5 AFL \u03c3\u03c4\u03bf 93,72%. \u03a3\u03c4\u03bf CIFAR-100 \u03b1\u03bd\u03ad\u03b2\u03b7\u03ba\u03b5 \u03b1\u03c0\u03cc 58,56% \u03c3\u03b5 75,51% \u03ba\u03b1\u03b9 \u03be\u03b5\u03c0\u03ad\u03c1\u03b1\u03c3\u03b5 \u03ba\u03b1\u03c4\u03ac 10,93 \u03c0\u03bf\u03c3\u03bf\u03c3\u03c4\u03b9\u03b1\u03af\u03b5\u03c2 \u03bc\u03bf\u03bd\u03ac\u03b4\u03b5\u03c2 \u03c4\u03bf FedCGS \u03c4\u03b7\u03c2 \u03af\u03b4\u03b9\u03b1\u03c2 \u03b3\u03c1\u03b1\u03bc\u03bc\u03ae\u03c2 \u03c4\u03bf\u03c5 \u03c0\u03af\u03bd\u03b1\u03ba\u03b1. \u03a3\u03c4\u03bf DTD \u03b4\u03b9\u03b1\u03c4\u03ae\u03c1\u03b7\u03c3\u03b5 64,79%, \u03b5\u03bd\u03ce \u03c4\u03bf FedCGS \u03c4\u03b7\u03c2 \u03b5\u03c1\u03b3\u03b1\u03c3\u03af\u03b1\u03c2 \u03ba\u03b1\u03c4\u03ad\u03c1\u03c1\u03b5\u03c5\u03c3\u03b5 \u03c3\u03c4\u03bf 2,13%.<\/p>\n<div class=\"td-decision-band\">\n<p class=\"td-decision-band-kicker\">\u03a3\u03c9\u03c3\u03c4\u03ae \u03b1\u03bd\u03ac\u03b3\u03bd\u03c9\u03c3\u03b7 \u03c4\u03bf\u03c5 benchmark<\/p>\n<p><strong>\u03a4\u03bf paper \u03b4\u03b5\u03af\u03c7\u03bd\u03b5\u03b9 \u03cc\u03c4\u03b9 \u03c4\u03b1 visual prompts \u03bc\u03c0\u03bf\u03c1\u03bf\u03cd\u03bd \u03bd\u03b1 \u03b2\u03bf\u03b7\u03b8\u03ae\u03c3\u03bf\u03c5\u03bd \u03c4\u03b7\u03bd \u03b1\u03bd\u03b1\u03bb\u03c5\u03c4\u03b9\u03ba\u03ae \u03c3\u03c5\u03b3\u03ba\u03ad\u03bd\u03c4\u03c1\u03c9\u03c3\u03b7 \u03c3\u03b5 \u03c3\u03c5\u03b3\u03ba\u03b5\u03ba\u03c1\u03b9\u03bc\u03ad\u03bd\u03b1 vision datasets.<\/strong> \u0394\u03b5\u03bd \u03b4\u03b5\u03af\u03c7\u03bd\u03b5\u03b9 production SLA, \u03b5\u03be\u03bf\u03b9\u03ba\u03bf\u03bd\u03cc\u03bc\u03b7\u03c3\u03b7 \u03c3\u03b5 \u03b5\u03c5\u03c1\u03ce, \u03b1\u03bd\u03c4\u03bf\u03c7\u03ae \u03c3\u03b5 \u03ba\u03b1\u03ba\u03cc\u03b2\u03bf\u03c5\u03bb\u03bf\u03c5\u03c2 clients \u03ae \u03c3\u03c5\u03bc\u03bc\u03cc\u03c1\u03c6\u03c9\u03c3\u03b7 \u03bc\u03b5 privacy \u03b1\u03c0\u03b1\u03b9\u03c4\u03ae\u03c3\u03b5\u03b9\u03c2. \u0391\u03c5\u03c4\u03ac \u03c7\u03c1\u03b5\u03b9\u03ac\u03b6\u03bf\u03bd\u03c4\u03b1\u03b9 \u03be\u03b5\u03c7\u03c9\u03c1\u03b9\u03c3\u03c4\u03ad\u03c2 \u03b4\u03bf\u03ba\u03b9\u03bc\u03ad\u03c2.<\/p>\n<\/div>\n<p>\u0397 \u03c3\u03cd\u03b3\u03ba\u03c1\u03b9\u03c3\u03b7 \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03b5\u03c0\u03af\u03c3\u03b7\u03c2 \u03bd\u03b1 \u03bb\u03b1\u03bc\u03b2\u03ac\u03bd\u03b5\u03b9 \u03c5\u03c0\u03cc\u03c8\u03b7 \u03cc\u03c4\u03b9 \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03b5\u03c4\u03b9\u03ba\u03ad\u03c2 baselines \u03c7\u03c1\u03b7\u03c3\u03b9\u03bc\u03bf\u03c0\u03bf\u03b9\u03bf\u03cd\u03bd \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03b5\u03c4\u03b9\u03ba\u03ac backbones, \u03cc\u03c0\u03c9\u03c2 ResNet-18, ResNet-50 \u03ae CLIP. \u0391\u03c5\u03c4\u03cc \u03b4\u03c5\u03c3\u03ba\u03bf\u03bb\u03b5\u03cd\u03b5\u03b9 \u03c4\u03b7\u03bd \u03b1\u03c0\u03cc\u03b4\u03bf\u03c3\u03b7 \u03cc\u03bb\u03b7\u03c2 \u03c4\u03b7\u03c2 \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03ac\u03c2 \u03b1\u03c0\u03bf\u03ba\u03bb\u03b5\u03b9\u03c3\u03c4\u03b9\u03ba\u03ac \u03c3\u03c4\u03bf aggregation method. \u038c\u03c0\u03c9\u03c2 \u03ba\u03b1\u03b9 \u03c3\u03b5 \u03ba\u03ac\u03b8\u03b5 <a href=\"https:\/\/twodots.gr\/every-eval-ever-ai-benchmarks-diafaneia\/\">AI benchmark \u03c0\u03bf\u03c5 \u03c7\u03c1\u03b5\u03b9\u03ac\u03b6\u03b5\u03c4\u03b1\u03b9 \u03b4\u03b9\u03b1\u03c6\u03ac\u03bd\u03b5\u03b9\u03b1<\/a>, dataset, backbone, partition, hyperparameters \u03ba\u03b1\u03b9 hardware \u03b5\u03af\u03bd\u03b1\u03b9 \u03bc\u03ad\u03c1\u03bf\u03c2 \u03c4\u03bf\u03c5 \u03b1\u03c0\u03bf\u03c4\u03b5\u03bb\u03ad\u03c3\u03bc\u03b1\u03c4\u03bf\u03c2.<\/p>\n<h2 id=\"pou-ysterei-fedopal\">\u03a0\u03bf\u03cd \u03c4\u03bf FedOPAL \u03c5\u03c3\u03c4\u03b5\u03c1\u03b5\u03af<\/h2>\n<p>\u03a4\u03bf \u03c0\u03b9\u03bf \u03c7\u03c1\u03ae\u03c3\u03b9\u03bc\u03bf \u03b1\u03c1\u03bd\u03b7\u03c4\u03b9\u03ba\u03cc \u03b1\u03c0\u03bf\u03c4\u03ad\u03bb\u03b5\u03c3\u03bc\u03b1 \u03b5\u03bc\u03c6\u03b1\u03bd\u03af\u03b6\u03b5\u03c4\u03b1\u03b9 \u03c3\u03c4\u03bf SVHN, \u03ad\u03bd\u03b1 dataset \u03bc\u03b5 \u03b1\u03c1\u03b9\u03b8\u03bc\u03bf\u03cd\u03c2 \u03b1\u03c0\u03cc \u03b5\u03b9\u03ba\u03cc\u03bd\u03b5\u03c2 \u03b4\u03c1\u03cc\u03bc\u03bf\u03c5. \u0393\u03b9\u03b1 \u03b1=0,1 \u03c4\u03bf FedOPAL \u03c0\u03ad\u03c4\u03c5\u03c7\u03b5 47,05%, \u03b5\u03bd\u03ce \u03c4\u03bf FedCGS \u03ad\u03c6\u03c4\u03b1\u03c3\u03b5 57,45% \u03ba\u03b1\u03b9 \u03c4\u03bf AFL 53,97%. \u039f\u03b9 \u03c3\u03c5\u03b3\u03b3\u03c1\u03b1\u03c6\u03b5\u03af\u03c2 \u03b1\u03c0\u03bf\u03b4\u03af\u03b4\u03bf\u03c5\u03bd \u03c4\u03b7 \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03ac \u03c3\u03c4\u03bf domain gap \u03b1\u03bd\u03ac\u03bc\u03b5\u03c3\u03b1 \u03c3\u03c4\u03bf natural-image pretraining \u03c4\u03bf\u03c5 CLIP \u03ba\u03b1\u03b9 \u03c3\u03c4\u03b1 digit features.<\/p>\n<p>\u0391\u03c5\u03c4\u03cc \u03c4\u03bf \u03b5\u03cd\u03c1\u03b7\u03bc\u03b1 \u03b1\u03c0\u03bf\u03ba\u03b1\u03bb\u03cd\u03c0\u03c4\u03b5\u03b9 \u03c4\u03bf\u03bd \u03b2\u03b1\u03c3\u03b9\u03ba\u03cc \u03b5\u03c0\u03b9\u03c7\u03b5\u03b9\u03c1\u03b7\u03bc\u03b1\u03c4\u03b9\u03ba\u03cc \u03ba\u03af\u03bd\u03b4\u03c5\u03bd\u03bf: \u03ad\u03bd\u03b1 frozen foundation backbone \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03b5\u03af\u03bd\u03b1\u03b9 \u03b9\u03c3\u03c7\u03c5\u03c1\u03cc \u03c3\u03b5 \u03b3\u03b5\u03bd\u03b9\u03ba\u03ad\u03c2 \u03c6\u03c9\u03c4\u03bf\u03b3\u03c1\u03b1\u03c6\u03af\u03b5\u03c2, \u03b1\u03bb\u03bb\u03ac \u03b1\u03b4\u03cd\u03bd\u03b1\u03bc\u03bf \u03c3\u03b5 \u03b1\u03ba\u03c4\u03b9\u03bd\u03bf\u03b3\u03c1\u03b1\u03c6\u03af\u03b5\u03c2, \u03b8\u03b5\u03c1\u03bc\u03b9\u03ba\u03ad\u03c2 \u03bb\u03ae\u03c8\u03b5\u03b9\u03c2, \u03bc\u03b9\u03ba\u03c1\u03bf\u03c3\u03ba\u03bf\u03c0\u03af\u03b1, \u03b2\u03b9\u03bf\u03bc\u03b7\u03c7\u03b1\u03bd\u03b9\u03ba\u03ad\u03c2 \u03b1\u03c4\u03ad\u03bb\u03b5\u03b9\u03b5\u03c2 \u03ae \u03b5\u03b9\u03b4\u03b9\u03ba\u03ac \u03c0\u03c1\u03bf\u03ca\u03cc\u03bd\u03c4\u03b1. \u03a4\u03b1 prompts \u03b4\u03b5\u03bd \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03b1\u03bd\u03c4\u03b9\u03bc\u03b5\u03c4\u03c9\u03c0\u03af\u03b6\u03bf\u03bd\u03c4\u03b1\u03b9 \u03c9\u03c2 \u03bc\u03b1\u03b3\u03b9\u03ba\u03ae \u03b4\u03b9\u03cc\u03c1\u03b8\u03c9\u03c3\u03b7 \u03b5\u03bd\u03cc\u03c2 \u03b1\u03ba\u03b1\u03c4\u03ac\u03bb\u03bb\u03b7\u03bb\u03bf\u03c5 encoder.<\/p>\n<p>\u03a5\u03c0\u03ac\u03c1\u03c7\u03bf\u03c5\u03bd \u03ba\u03b1\u03b9 \u03c0\u03c1\u03b1\u03ba\u03c4\u03b9\u03ba\u03ac \u03ba\u03b5\u03bd\u03ac \u03c4\u03b5\u03ba\u03bc\u03b7\u03c1\u03af\u03c9\u03c3\u03b7\u03c2. \u0397 \u03b5\u03c1\u03b3\u03b1\u03c3\u03af\u03b1 \u03b5\u03af\u03bd\u03b1\u03b9 \u03b5\u03c0\u03c4\u03ac \u03c3\u03b5\u03bb\u03af\u03b4\u03b5\u03c2, \u03c4\u03bf \u03b4\u03b9\u03b1\u03b8\u03ad\u03c3\u03b9\u03bc\u03bf repository \u03b5\u03af\u03bd\u03b1\u03b9 \u03bc\u03b9\u03ba\u03c1\u03cc, \u03b4\u03b5\u03bd \u03c0\u03b1\u03c1\u03bf\u03c5\u03c3\u03b9\u03ac\u03b6\u03b5\u03c4\u03b1\u03b9 deployment \u03c3\u03b5 \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03ac \u03b5\u03c4\u03b5\u03c1\u03bf\u03b3\u03b5\u03bd\u03ad\u03c2 edge hardware \u03ba\u03b1\u03b9 \u03b4\u03b5\u03bd \u03bc\u03b5\u03c4\u03c1\u03ce\u03bd\u03c4\u03b1\u03b9 end-to-end bytes, \u03b5\u03bd\u03ad\u03c1\u03b3\u03b5\u03b9\u03b1, latency, \u03b1\u03c0\u03bf\u03c3\u03c5\u03bd\u03b4\u03ad\u03c3\u03b5\u03b9\u03c2 \u03ae \u03ba\u03cc\u03c3\u03c4\u03bf\u03c2 \u03c3\u03c5\u03bd\u03c4\u03bf\u03bd\u03b9\u03c3\u03bc\u03bf\u03cd. \u03a4\u03bf \u00abzero server-side training cost\u00bb \u03c3\u03b7\u03bc\u03b1\u03af\u03bd\u03b5\u03b9 \u03cc\u03c4\u03b9 \u03bf server \u03b4\u03b5\u03bd \u03b5\u03ba\u03c4\u03b5\u03bb\u03b5\u03af iterative training \u03c3\u03c4\u03b7 \u03c3\u03c5\u03b3\u03ba\u03b5\u03ba\u03c1\u03b9\u03bc\u03ad\u03bd\u03b7 \u03bc\u03ad\u03b8\u03bf\u03b4\u03bf\u00b7 \u03b4\u03b5\u03bd \u03c3\u03b7\u03bc\u03b1\u03af\u03bd\u03b5\u03b9 \u03bc\u03b7\u03b4\u03b5\u03bd\u03b9\u03ba\u03cc compute, \u03b1\u03c0\u03bf\u03b8\u03ae\u03ba\u03b5\u03c5\u03c3\u03b7 \u03ae \u03bb\u03b5\u03b9\u03c4\u03bf\u03c5\u03c1\u03b3\u03b9\u03ba\u03cc \u03ba\u03cc\u03c3\u03c4\u03bf\u03c2.<\/p>\n<h2 id=\"idiotikotita-kai-asfaleia\">\u0399\u03b4\u03b9\u03c9\u03c4\u03b9\u03ba\u03cc\u03c4\u03b7\u03c4\u03b1 \u03ba\u03b1\u03b9 \u03b1\u03c3\u03c6\u03ac\u03bb\u03b5\u03b9\u03b1: \u03c4\u03b9 \u03c0\u03c1\u03bf\u03c3\u03c4\u03b1\u03c4\u03b5\u03cd\u03b5\u03b9 \u03ba\u03b1\u03b9 \u03c4\u03b9 \u03cc\u03c7\u03b9<\/h2>\n<p>\u03a4\u03bf federated learning \u03ba\u03c1\u03b1\u03c4\u03ac \u03c4\u03b1 raw datasets \u03c3\u03c4\u03bf\u03c5\u03c2 clients \u03ba\u03b1\u03b9 \u03b1\u03c5\u03c4\u03cc \u03bc\u03b5\u03b9\u03ce\u03bd\u03b5\u03b9 \u03c4\u03b7\u03bd \u03b1\u03bd\u03ac\u03b3\u03ba\u03b7 \u03ba\u03b5\u03bd\u03c4\u03c1\u03b9\u03ba\u03ae\u03c2 \u03c3\u03c5\u03bb\u03bb\u03bf\u03b3\u03ae\u03c2. \u03a3\u03c4\u03bf FedOPAL \u03b1\u03c0\u03bf\u03c3\u03c4\u03ad\u03bb\u03bb\u03bf\u03bd\u03c4\u03b1\u03b9 prompt tokens \u03ba\u03b1\u03b9 sufficient statistics \u03b1\u03bd\u03c4\u03af \u03b3\u03b9\u03b1 \u03c4\u03b9\u03c2 \u03b1\u03c1\u03c7\u03b9\u03ba\u03ad\u03c2 \u03b5\u03b9\u03ba\u03cc\u03bd\u03b5\u03c2. \u0395\u03af\u03bd\u03b1\u03b9 \u03c3\u03b7\u03bc\u03b1\u03bd\u03c4\u03b9\u03ba\u03cc \u03c0\u03bb\u03b5\u03bf\u03bd\u03ad\u03ba\u03c4\u03b7\u03bc\u03b1 \u03b1\u03c1\u03c7\u03b9\u03c4\u03b5\u03ba\u03c4\u03bf\u03bd\u03b9\u03ba\u03ae\u03c2, \u03b1\u03bb\u03bb\u03ac \u03b4\u03b5\u03bd \u03b9\u03c3\u03bf\u03b4\u03c5\u03bd\u03b1\u03bc\u03b5\u03af \u03bc\u03b5 \u03b1\u03c0\u03cc\u03b4\u03b5\u03b9\u03be\u03b7 privacy.<\/p>\n<p>\u0397 NIST \u03b5\u03c0\u03b9\u03c3\u03b7\u03bc\u03b1\u03af\u03bd\u03b5\u03b9 \u03cc\u03c4\u03b9 \u03b5\u03c0\u03b9\u03b8\u03ad\u03c3\u03b5\u03b9\u03c2 \u03bc\u03c0\u03bf\u03c1\u03bf\u03cd\u03bd \u03bd\u03b1 \u03c3\u03c4\u03bf\u03c7\u03b5\u03cd\u03c3\u03bf\u03c5\u03bd \u03c4\u03cc\u03c3\u03bf \u03c4\u03b1 model updates \u03ba\u03b1\u03c4\u03ac \u03c4\u03b7\u03bd \u03b5\u03ba\u03c0\u03b1\u03af\u03b4\u03b5\u03c5\u03c3\u03b7 \u03cc\u03c3\u03bf \u03ba\u03b1\u03b9 \u03c4\u03bf \u03c4\u03b5\u03bb\u03b9\u03ba\u03cc \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf. \u0388\u03bd\u03b1\u03c2 aggregator \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03b5\u03af\u03bd\u03b1\u03b9 honest-but-curious, \u03ad\u03bd\u03b1\u03c2 client \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03b4\u03b7\u03bb\u03b7\u03c4\u03b7\u03c1\u03b9\u03ac\u03c3\u03b5\u03b9 \u03c4\u03b9\u03c2 \u03b5\u03bd\u03b7\u03bc\u03b5\u03c1\u03ce\u03c3\u03b5\u03b9\u03c2 \u03ba\u03b1\u03b9 \u03c4\u03b1 \u03c3\u03c4\u03b1\u03c4\u03b9\u03c3\u03c4\u03b9\u03ba\u03ac artifacts \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03b1\u03c0\u03bf\u03ba\u03b1\u03bb\u03cd\u03c0\u03c4\u03bf\u03c5\u03bd \u03c0\u03b5\u03c1\u03b9\u03c3\u03c3\u03cc\u03c4\u03b5\u03c1\u03b1 \u03b1\u03c0\u03cc \u03cc\u03c3\u03bf \u03c0\u03c1\u03bf\u03b2\u03bb\u03ad\u03c0\u03b5\u03b9 \u03b7 \u03bf\u03bc\u03ac\u03b4\u03b1. \u03a7\u03c1\u03b5\u03b9\u03ac\u03b6\u03bf\u03bd\u03c4\u03b1\u03b9 threat model, transport encryption, client authentication, least privilege, \u03ad\u03bb\u03b5\u03b3\u03c7\u03bf\u03c2 \u03c3\u03c5\u03bc\u03bc\u03b5\u03c4\u03bf\u03c7\u03ae\u03c2, anomaly detection \u03ba\u03b1\u03b9, \u03cc\u03c0\u03bf\u03c5 \u03c4\u03bf \u03c1\u03af\u03c3\u03ba\u03bf \u03c4\u03bf \u03b1\u03c0\u03b1\u03b9\u03c4\u03b5\u03af, secure aggregation \u03ae differential privacy.<\/p>\n<div class=\"td-decision-band\">\n<p class=\"td-decision-band-kicker\">Privacy by architecture, \u03cc\u03c7\u03b9 by slogan<\/p>\n<p><strong>\u03a4\u03bf \u00ab\u03c4\u03b1 \u03b4\u03b5\u03b4\u03bf\u03bc\u03ad\u03bd\u03b1 \u03b4\u03b5\u03bd \u03c6\u03b5\u03cd\u03b3\u03bf\u03c5\u03bd \u03b1\u03c0\u03cc \u03c4\u03b7 \u03c3\u03c5\u03c3\u03ba\u03b5\u03c5\u03ae\u00bb \u03b5\u03af\u03bd\u03b1\u03b9 \u03bc\u03cc\u03bd\u03bf \u03b7 \u03b1\u03c1\u03c7\u03ae.<\/strong> \u0397 \u03b5\u03c0\u03b9\u03c7\u03b5\u03af\u03c1\u03b7\u03c3\u03b7 \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03c4\u03b5\u03ba\u03bc\u03b7\u03c1\u03b9\u03ce\u03c3\u03b5\u03b9 \u03c4\u03b9 \u03b1\u03ba\u03c1\u03b9\u03b2\u03ce\u03c2 \u03c6\u03b5\u03cd\u03b3\u03b5\u03b9, \u03c0\u03bf\u03b9\u03bf\u03c2 \u03c4\u03bf \u03b2\u03bb\u03ad\u03c0\u03b5\u03b9, \u03b1\u03bd \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03b1\u03bd\u03b1\u03ba\u03b1\u03c4\u03b1\u03c3\u03ba\u03b5\u03c5\u03b1\u03c3\u03c4\u03b5\u03af \u03c0\u03bb\u03b7\u03c1\u03bf\u03c6\u03bf\u03c1\u03af\u03b1, \u03c0\u03cc\u03c3\u03bf \u03b4\u03b9\u03b1\u03c4\u03b7\u03c1\u03b5\u03af\u03c4\u03b1\u03b9 \u03ba\u03b1\u03b9 \u03c0\u03ce\u03c2 \u03b1\u03bd\u03b1\u03ba\u03b1\u03bb\u03b5\u03af\u03c4\u03b1\u03b9 \u03ad\u03bd\u03b1\u03c2 \u03ba\u03b1\u03ba\u03cc\u03b2\u03bf\u03c5\u03bb\u03bf\u03c2 \u03ae \u03c0\u03b1\u03c1\u03b1\u03b2\u03b9\u03b1\u03c3\u03bc\u03ad\u03bd\u03bf\u03c2 client.<\/p>\n<\/div>\n<p>\u03a4\u03bf \u03af\u03b4\u03b9\u03bf \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf \u03b5\u03bb\u03ad\u03b3\u03c7\u03bf\u03c5 \u03b9\u03c3\u03c7\u03cd\u03b5\u03b9 \u03ba\u03b1\u03b9 \u03cc\u03c4\u03b1\u03bd \u03b7 edge AI \u03c4\u03c1\u03bf\u03c6\u03bf\u03b4\u03bf\u03c4\u03b5\u03af \u03bc\u03b5\u03b3\u03b1\u03bb\u03cd\u03c4\u03b5\u03c1\u03b1 \u03b5\u03c4\u03b1\u03b9\u03c1\u03b9\u03ba\u03ac workflows. \u0388\u03bd\u03b1 <a href=\"https:\/\/twodots.gr\/private-chatbot-rag-knowledge-base-business\/\">private RAG \u03c3\u03cd\u03c3\u03c4\u03b7\u03bc\u03b1<\/a> \u03ae \u03ad\u03bd\u03b1\u03c2 agent \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03ba\u03c1\u03b1\u03c4\u03ac \u03c4\u03bf \u03ba\u03cd\u03c1\u03b9\u03bf dataset \u03b5\u03c3\u03c9\u03c4\u03b5\u03c1\u03b9\u03ba\u03ac \u03ba\u03b1\u03b9 \u03c0\u03b1\u03c1\u2019 \u03cc\u03bb\u03b1 \u03b1\u03c5\u03c4\u03ac \u03bd\u03b1 \u03b1\u03c0\u03bf\u03ba\u03b1\u03bb\u03cd\u03c0\u03c4\u03b5\u03b9 \u03c0\u03bb\u03b7\u03c1\u03bf\u03c6\u03bf\u03c1\u03af\u03b1 \u03bc\u03ad\u03c3\u03c9 retrieval, logs \u03ae actions. \u0397 \u03b1\u03c3\u03c6\u03ac\u03bb\u03b5\u03b9\u03b1 \u03c7\u03c1\u03b5\u03b9\u03ac\u03b6\u03b5\u03c4\u03b1\u03b9 end-to-end boundaries \u03ba\u03b1\u03b9 \u03cc\u03c7\u03b9 \u03bc\u03cc\u03bd\u03bf \u03ad\u03bd\u03b1\u03bd \u00ab\u03b9\u03b4\u03b9\u03c9\u03c4\u03b9\u03ba\u03cc\u00bb \u03b1\u03bb\u03b3\u03cc\u03c1\u03b9\u03b8\u03bc\u03bf.<\/p>\n<h2 id=\"epicheirimatikes-efarmoges\">\u03a0\u03bf\u03cd \u03b8\u03b1 \u03bc\u03c0\u03bf\u03c1\u03bf\u03cd\u03c3\u03b5 \u03bd\u03b1 \u03b4\u03bf\u03ba\u03b9\u03bc\u03b1\u03c3\u03c4\u03b5\u03af \u03c3\u03b5 \u03b5\u03c0\u03b9\u03c7\u03b5\u03b9\u03c1\u03ae\u03c3\u03b5\u03b9\u03c2<\/h2>\n<p>\u03a4\u03bf FedOPAL \u03c4\u03b1\u03b9\u03c1\u03b9\u03ac\u03b6\u03b5\u03b9 \u03c0\u03b5\u03c1\u03b9\u03c3\u03c3\u03cc\u03c4\u03b5\u03c1\u03bf \u03c3\u03b5 \u03ba\u03b1\u03c4\u03b1\u03bd\u03b5\u03bc\u03b7\u03bc\u03ad\u03bd\u03b5\u03c2 \u03b5\u03c1\u03b3\u03b1\u03c3\u03af\u03b5\u03c2 \u03c4\u03b1\u03be\u03b9\u03bd\u03cc\u03bc\u03b7\u03c3\u03b7\u03c2 \u03b5\u03b9\u03ba\u03cc\u03bd\u03c9\u03bd \u03cc\u03c0\u03bf\u03c5 \u03bf\u03b9 \u03c4\u03bf\u03c0\u03bf\u03b8\u03b5\u03c3\u03af\u03b5\u03c2 \u03b2\u03bb\u03ad\u03c0\u03bf\u03c5\u03bd \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03b5\u03c4\u03b9\u03ba\u03ad\u03c2 \u03ba\u03b1\u03c4\u03b1\u03bd\u03bf\u03bc\u03ad\u03c2 \u03b4\u03b5\u03b4\u03bf\u03bc\u03ad\u03bd\u03c9\u03bd \u03ba\u03b1\u03b9 \u03b7 \u03c3\u03c5\u03bd\u03b5\u03c7\u03ae\u03c2 \u03bc\u03b5\u03c4\u03b1\u03c6\u03bf\u03c1\u03ac \u03b5\u03af\u03bd\u03b1\u03b9 \u03b4\u03cd\u03c3\u03ba\u03bf\u03bb\u03b7. \u03a0\u03b1\u03c1\u03b1\u03b4\u03b5\u03af\u03b3\u03bc\u03b1\u03c4\u03b1 \u03b5\u03af\u03bd\u03b1\u03b9 \u03bf\u03c0\u03c4\u03b9\u03ba\u03cc\u03c2 \u03c0\u03bf\u03b9\u03bf\u03c4\u03b9\u03ba\u03cc\u03c2 \u03ad\u03bb\u03b5\u03b3\u03c7\u03bf\u03c2 \u03c3\u03b5 \u03b5\u03c1\u03b3\u03bf\u03c3\u03c4\u03ac\u03c3\u03b9\u03b1, \u03ba\u03b1\u03c4\u03b7\u03b3\u03bf\u03c1\u03b9\u03bf\u03c0\u03bf\u03af\u03b7\u03c3\u03b7 \u03c0\u03c1\u03bf\u03ca\u03cc\u03bd\u03c4\u03c9\u03bd \u03c3\u03b5 \u03b1\u03c0\u03bf\u03b8\u03ae\u03ba\u03b5\u03c2, \u03b5\u03c0\u03b9\u03b8\u03b5\u03ce\u03c1\u03b7\u03c3\u03b7 \u03b5\u03be\u03bf\u03c0\u03bb\u03b9\u03c3\u03bc\u03bf\u03cd \u03c3\u03b5 \u03b1\u03c0\u03bf\u03bc\u03b1\u03ba\u03c1\u03c5\u03c3\u03bc\u03ad\u03bd\u03b1 \u03c3\u03b7\u03bc\u03b5\u03af\u03b1 \u03ba\u03b1\u03b9 local vision analytics \u03c3\u03b5 \u03ba\u03b1\u03c4\u03b1\u03c3\u03c4\u03ae\u03bc\u03b1\u03c4\u03b1.<\/p>\n<p>\u0393\u03b9\u03b1 \u03bd\u03b1 \u03b5\u03af\u03bd\u03b1\u03b9 \u03bd\u03cc\u03bc\u03b9\u03bc\u03b7 \u03ba\u03b1\u03b9 \u03c7\u03c1\u03ae\u03c3\u03b9\u03bc\u03b7 \u03bc\u03b9\u03b1 \u03c4\u03ad\u03c4\u03bf\u03b9\u03b1 \u03b4\u03bf\u03ba\u03b9\u03bc\u03ae, \u03c4\u03bf use case \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03ad\u03c7\u03b5\u03b9 \u03c3\u03b1\u03c6\u03ae labels, \u03bc\u03b5\u03c4\u03c1\u03ae\u03c3\u03b9\u03bc\u03bf \u03ba\u03cc\u03c3\u03c4\u03bf\u03c2 \u03bb\u03ac\u03b8\u03bf\u03c5\u03c2 \u03ba\u03b1\u03b9 \u03ba\u03bf\u03b9\u03bd\u03cc task \u03c3\u03b5 \u03cc\u03bb\u03bf\u03c5\u03c2 \u03c4\u03bf\u03c5\u03c2 clients. \u0391\u03bd \u03ba\u03ac\u03b8\u03b5 \u03b5\u03b3\u03ba\u03b1\u03c4\u03ac\u03c3\u03c4\u03b1\u03c3\u03b7 \u03b5\u03ba\u03c4\u03b5\u03bb\u03b5\u03af \u03bf\u03c5\u03c3\u03b9\u03b1\u03c3\u03c4\u03b9\u03ba\u03ac \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03b5\u03c4\u03b9\u03ba\u03ae \u03b5\u03c1\u03b3\u03b1\u03c3\u03af\u03b1, \u03bf global classifier \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03bc\u03b7\u03bd \u03ad\u03c7\u03b5\u03b9 \u03bd\u03cc\u03b7\u03bc\u03b1. \u0391\u03bd \u03c4\u03bf domain \u03b1\u03c0\u03ad\u03c7\u03b5\u03b9 \u03c0\u03bf\u03bb\u03cd \u03b1\u03c0\u03cc \u03c4\u03bf pretraining \u03c4\u03bf\u03c5 backbone, \u03c7\u03c1\u03b5\u03b9\u03ac\u03b6\u03b5\u03c4\u03b1\u03b9 \u03b5\u03bd\u03b1\u03bb\u03bb\u03b1\u03ba\u03c4\u03b9\u03ba\u03cc\u03c2 encoder \u03ae \u03ac\u03bb\u03bb\u03b7 \u03bc\u03ad\u03b8\u03bf\u03b4\u03bf\u03c2 adaptation.<\/p>\n<p>\u0394\u03b5\u03bd \u03b5\u03af\u03bd\u03b1\u03b9 \u03c3\u03c9\u03c3\u03c4\u03cc \u03bd\u03b1 \u03bc\u03b5\u03c4\u03b1\u03c4\u03c1\u03b1\u03c0\u03b5\u03af \u03c4\u03bf FedOPAL \u03c3\u03b5 \u03b3\u03b5\u03bd\u03b9\u03ba\u03ae \u03c5\u03c0\u03cc\u03c3\u03c7\u03b5\u03c3\u03b7 \u03b3\u03b9\u03b1 \u03ba\u03ac\u03b8\u03b5 AI workflow. \u0397 \u03bc\u03ad\u03b8\u03bf\u03b4\u03bf\u03c2 \u03b1\u03c6\u03bf\u03c1\u03ac visual classification \u03bc\u03b5 \u03c3\u03c5\u03b3\u03ba\u03b5\u03ba\u03c1\u03b9\u03bc\u03ad\u03bd\u03b7 \u03b1\u03bd\u03b1\u03bb\u03c5\u03c4\u03b9\u03ba\u03ae \u03ba\u03b5\u03c6\u03b1\u03bb\u03ae. \u0394\u03b5\u03bd \u03b1\u03be\u03b9\u03bf\u03bb\u03bf\u03b3\u03b5\u03af\u03c4\u03b1\u03b9 \u03b3\u03b9\u03b1 generative agents, \u03c6\u03c5\u03c3\u03b9\u03ba\u03ae \u03b3\u03bb\u03ce\u03c3\u03c3\u03b1, forecasting \u03ae \u03b1\u03c5\u03c4\u03cc\u03bd\u03bf\u03bc\u03bf tool use. \u03a3\u03b5 \u03c4\u03ad\u03c4\u03bf\u03b9\u03b5\u03c2 \u03c1\u03bf\u03ad\u03c2, \u03ba\u03af\u03bd\u03b4\u03c5\u03bd\u03bf\u03b9 \u03cc\u03c0\u03c9\u03c2 \u03c4\u03bf <a href=\"https:\/\/twodots.gr\/ai-agents-indirect-prompt-injection-epixeiriseis\/\">indirect prompt injection \u03c3\u03b5 AI agents<\/a> \u03b1\u03c0\u03b1\u03b9\u03c4\u03bf\u03cd\u03bd \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03b5\u03c4\u03b9\u03ba\u03ad\u03c2 \u03ac\u03bc\u03c5\u03bd\u03b5\u03c2.<\/p>\n<h2 id=\"axiopisto-pilot\">\u03a0\u03ce\u03c2 \u03c3\u03c4\u03ae\u03bd\u03b5\u03c4\u03b1\u03b9 \u03ad\u03bd\u03b1 \u03b1\u03be\u03b9\u03cc\u03c0\u03b9\u03c3\u03c4\u03bf pilot<\/h2>\n<p>\u0388\u03bd\u03b1 \u03ba\u03b1\u03bb\u03cc pilot \u03b4\u03b5\u03bd \u03be\u03b5\u03ba\u03b9\u03bd\u03ac \u03b1\u03c0\u03cc \u03c4\u03bf \u03b5\u03c1\u03ce\u03c4\u03b7\u03bc\u03b1 \u00ab\u03bc\u03c0\u03bf\u03c1\u03bf\u03cd\u03bc\u03b5 \u03bd\u03b1 \u03c4\u03c1\u03ad\u03be\u03bf\u03c5\u03bc\u03b5 \u03c4\u03bf\u03bd \u03ba\u03ce\u03b4\u03b9\u03ba\u03b1;\u00bb, \u03b1\u03bb\u03bb\u03ac \u03b1\u03c0\u03cc \u03bc\u03b9\u03b1 baseline \u03c0\u03bf\u03c5 \u03bc\u03b5\u03c4\u03c1\u03ac \u03c4\u03bf \u03c3\u03b7\u03bc\u03b5\u03c1\u03b9\u03bd\u03cc \u03c3\u03cd\u03c3\u03c4\u03b7\u03bc\u03b1. \u03a7\u03c1\u03b5\u03b9\u03ac\u03b6\u03bf\u03bd\u03c4\u03b1\u03b9 accuracy \u03b1\u03bd\u03ac site \u03ba\u03b1\u03b9 class, bytes \u03b1\u03bd\u03ac update, \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03cc latency, \u03ba\u03b1\u03c4\u03b1\u03bd\u03ac\u03bb\u03c9\u03c3\u03b7 \u03c0\u03cc\u03c1\u03c9\u03bd, \u03c0\u03bf\u03c3\u03bf\u03c3\u03c4\u03cc \u03b1\u03c0\u03bf\u03c3\u03c5\u03bd\u03b4\u03ad\u03c3\u03b5\u03c9\u03bd, drift \u03ba\u03b1\u03b9 \u03c3\u03b1\u03c6\u03ae \u03b4\u03b9\u03b1\u03b4\u03b9\u03ba\u03b1\u03c3\u03af\u03b1 \u03b5\u03c0\u03b9\u03c3\u03c4\u03c1\u03bf\u03c6\u03ae\u03c2 \u03c3\u03c4\u03bf \u03c0\u03c1\u03bf\u03b7\u03b3\u03bf\u03cd\u03bc\u03b5\u03bd\u03bf \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf.<\/p>\n<div class=\"td-step-list\">\n<p class=\"td-step-list-title\">\u0388\u03be\u03b9 \u03b2\u03ae\u03bc\u03b1\u03c4\u03b1 \u03b3\u03b9\u03b1 pilot FedOPAL \u03c3\u03c4\u03bf edge<\/p>\n<ol>\n<li><span class=\"td-step-kicker\">Step 1<\/span><strong>\u038c\u03c1\u03b9\u03c3\u03b5 \u03bc\u03af\u03b1 \u03c3\u03c4\u03b5\u03bd\u03ae visual \u03b5\u03c1\u03b3\u03b1\u03c3\u03af\u03b1<\/strong>\n<p>\u0395\u03c0\u03af\u03bb\u03b5\u03be\u03b5 \u03c3\u03c5\u03b3\u03ba\u03b5\u03ba\u03c1\u03b9\u03bc\u03ad\u03bd\u03b5\u03c2 classes, ground truth, \u03ba\u03cc\u03c3\u03c4\u03bf\u03c2 false positive \u03ba\u03b1\u03b9 false negative \u03ba\u03b1\u03b9 \u03c3\u03b1\u03c6\u03ae owner \u03c4\u03bf\u03c5 \u03b1\u03c0\u03bf\u03c4\u03b5\u03bb\u03ad\u03c3\u03bc\u03b1\u03c4\u03bf\u03c2.<\/p>\n<\/li>\n<li><span class=\"td-step-kicker\">Step 2<\/span><strong>\u039c\u03ad\u03c4\u03c1\u03b7\u03c3\u03b5 \u03c4\u03b7\u03bd \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03ae \u03b5\u03c4\u03b5\u03c1\u03bf\u03b3\u03ad\u03bd\u03b5\u03b9\u03b1<\/strong>\n<p>\u03a3\u03cd\u03b3\u03ba\u03c1\u03b9\u03bd\u03b5 class balance, \u03b1\u03b9\u03c3\u03b8\u03b7\u03c4\u03ae\u03c1\u03b5\u03c2, \u03c6\u03c9\u03c4\u03b9\u03c3\u03bc\u03cc, \u03c0\u03bf\u03b9\u03cc\u03c4\u03b7\u03c4\u03b1 \u03b5\u03b9\u03ba\u03cc\u03bd\u03b1\u03c2 \u03ba\u03b1\u03b9 drift \u03b1\u03bd\u03ac client \u03c0\u03c1\u03b9\u03bd \u03b4\u03b9\u03b1\u03bb\u03ad\u03be\u03b5\u03b9\u03c2 partition assumptions.<\/p>\n<\/li>\n<li><span class=\"td-step-kicker\">Step 3<\/span><strong>\u039a\u03b1\u03c4\u03ad\u03b3\u03c1\u03b1\u03c8\u03b5 network \u03ba\u03b1\u03b9 hardware baseline<\/strong>\n<p>\u039c\u03ad\u03c4\u03c1\u03b7\u03c3\u03b5 bytes, latency, \u03bc\u03bd\u03ae\u03bc\u03b7, \u03c7\u03c1\u03cc\u03bd\u03bf local prompt tuning, \u03b5\u03bd\u03ad\u03c1\u03b3\u03b5\u03b9\u03b1 \u03ba\u03b1\u03b9 \u03b4\u03b9\u03b1\u03b8\u03b5\u03c3\u03b9\u03bc\u03cc\u03c4\u03b7\u03c4\u03b1 \u03c3\u03b5 \u03ba\u03ac\u03b8\u03b5 \u03c4\u03cd\u03c0\u03bf edge \u03c3\u03c5\u03c3\u03ba\u03b5\u03c5\u03ae\u03c2.<\/p>\n<\/li>\n<li><span class=\"td-step-kicker\">Step 4<\/span><strong>\u039a\u03ac\u03bd\u03b5 privacy \u03ba\u03b1\u03b9 adversarial review<\/strong>\n<p>\u0388\u03bb\u03b5\u03b3\u03be\u03b5 \u03c4\u03b9 \u03b1\u03c0\u03bf\u03ba\u03b1\u03bb\u03cd\u03c0\u03c4\u03bf\u03c5\u03bd prompts \u03ba\u03b1\u03b9 statistics, \u03b2\u03ac\u03bb\u03b5 client authentication \u03ba\u03b1\u03b9 \u03b4\u03bf\u03ba\u03af\u03bc\u03b1\u03c3\u03b5 poisoning, replay \u03ba\u03b1\u03b9 compromised-client scenarios.<\/p>\n<\/li>\n<li><span class=\"td-step-kicker\">Step 5<\/span><strong>\u03a4\u03c1\u03ad\u03be\u03b5 shadow mode<\/strong>\n<p>\u03a3\u03cd\u03b3\u03ba\u03c1\u03b9\u03bd\u03b5 FedOPAL, local-only \u03ba\u03b1\u03b9 iterative baseline \u03c7\u03c9\u03c1\u03af\u03c2 \u03bd\u03b1 \u03b1\u03c6\u03ae\u03c3\u03b5\u03b9\u03c2 \u03c4\u03bf \u03bd\u03ad\u03bf \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf \u03bd\u03b1 \u03b5\u03bd\u03b5\u03c1\u03b3\u03bf\u03c0\u03bf\u03b9\u03b5\u03af \u03c0\u03b1\u03c1\u03b1\u03b3\u03c9\u03b3\u03b9\u03ba\u03ad\u03c2 \u03b1\u03c0\u03bf\u03c6\u03ac\u03c3\u03b5\u03b9\u03c2.<\/p>\n<\/li>\n<li><span class=\"td-step-kicker\">Step 6<\/span><strong>\u038c\u03c1\u03b9\u03c3\u03b5 go\/no-go \u03ba\u03b1\u03b9 rollback<\/strong>\n<p>\u0391\u03c0\u03b1\u03af\u03c4\u03b7\u03c3\u03b5 thresholds \u03b1\u03bd\u03ac site, \u03b5\u03c0\u03b9\u03b2\u03b5\u03b2\u03b1\u03af\u03c9\u03c3\u03b7 \u03c3\u03b5 \u03bd\u03ad\u03bf domain, monitoring, versioned artifacts \u03ba\u03b1\u03b9 \u03b1\u03c3\u03c6\u03b1\u03bb\u03ae \u03b5\u03c0\u03b9\u03c3\u03c4\u03c1\u03bf\u03c6\u03ae \u03c3\u03c4\u03bf \u03c0\u03c1\u03bf\u03b7\u03b3\u03bf\u03cd\u03bc\u03b5\u03bd\u03bf \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03bf.<\/p>\n<\/li>\n<\/ol>\n<\/div>\n<p>\u03a4\u03bf \u03b1\u03c0\u03bf\u03c4\u03ad\u03bb\u03b5\u03c3\u03bc\u03b1 \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03b1\u03bd\u03b1\u03bb\u03cd\u03b5\u03c4\u03b1\u03b9 \u03b1\u03bd\u03ac client, \u03cc\u03c7\u03b9 \u03bc\u03cc\u03bd\u03bf \u03c9\u03c2 \u03ad\u03bd\u03b1\u03c2 global \u03bc\u03ad\u03c3\u03bf\u03c2 \u03cc\u03c1\u03bf\u03c2. \u039c\u03b9\u03b1 \u03b2\u03b5\u03bb\u03c4\u03af\u03c9\u03c3\u03b7 \u03c3\u03c4\u03bf \u03ba\u03b5\u03bd\u03c4\u03c1\u03b9\u03ba\u03cc accuracy \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03ba\u03c1\u03cd\u03b2\u03b5\u03b9 \u03c0\u03c4\u03ce\u03c3\u03b7 \u03c3\u03b5 \u03bc\u03b9\u03ba\u03c1\u03cc site \u03ae \u03c3\u03c0\u03ac\u03bd\u03b9\u03b1 class. \u03a7\u03c1\u03b5\u03b9\u03ac\u03b6\u03b5\u03c4\u03b1\u03b9 \u03b5\u03c0\u03af\u03c3\u03b7\u03c2 holdout \u03b1\u03c0\u03cc \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03b5\u03c4\u03b9\u03ba\u03ae \u03c0\u03b5\u03c1\u03af\u03bf\u03b4\u03bf \u03ae \u03b5\u03be\u03bf\u03c0\u03bb\u03b9\u03c3\u03bc\u03cc, \u03ce\u03c3\u03c4\u03b5 \u03bd\u03b1 \u03c6\u03b1\u03bd\u03b5\u03af \u03b1\u03bd \u03c4\u03bf frozen backbone \u03ba\u03b1\u03b9 \u03c4\u03b1 prompts \u03b1\u03bd\u03c4\u03ad\u03c7\u03bf\u03c5\u03bd \u03c3\u03b5 \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03cc domain shift.<\/p>\n<h2 id=\"elegchos-promithefti\">\u03a4\u03b9 \u03bd\u03b1 \u03b6\u03b7\u03c4\u03ae\u03c3\u03b5\u03b9 \u03bc\u03b9\u03b1 \u03b5\u03c0\u03b9\u03c7\u03b5\u03af\u03c1\u03b7\u03c3\u03b7 \u03b1\u03c0\u03cc \u03c0\u03c1\u03bf\u03bc\u03b7\u03b8\u03b5\u03c5\u03c4\u03ae<\/h2>\n<p>\u0397 \u03c0\u03c1\u03bf\u03bc\u03ae\u03b8\u03b5\u03b9\u03b1 \u03b4\u03b5\u03bd \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03b2\u03b1\u03c3\u03af\u03b6\u03b5\u03c4\u03b1\u03b9 \u03bc\u03cc\u03bd\u03bf \u03c3\u03c4\u03b7 \u03c6\u03c1\u03ac\u03c3\u03b7 \u00abone-shot federated AI\u00bb. \u0396\u03b7\u03c4\u03ae\u03c3\u03c4\u03b5 \u03b1\u03ba\u03c1\u03b9\u03b2\u03ad\u03c2 data flow: \u03c0\u03bf\u03b9\u03b1 tensors, prompts \u03ae statistics \u03b1\u03c6\u03ae\u03bd\u03bf\u03c5\u03bd \u03c4\u03bf\u03bd client, \u03c3\u03b5 \u03c0\u03bf\u03b9\u03b1 \u03b1\u03bd\u03ac\u03bb\u03c5\u03c3\u03b7, \u03bc\u03b5 \u03c0\u03bf\u03b9\u03b1 \u03ba\u03c1\u03c5\u03c0\u03c4\u03bf\u03b3\u03c1\u03ac\u03c6\u03b7\u03c3\u03b7 \u03ba\u03b1\u03b9 \u03c0\u03bf\u03b9\u03bf retention. \u0396\u03b7\u03c4\u03ae\u03c3\u03c4\u03b5 \u03b5\u03c0\u03af\u03c3\u03b7\u03c2 bill of materials \u03b3\u03b9\u03b1 backbone, libraries, drivers \u03ba\u03b1\u03b9 hardware acceleration.<\/p>\n<p>\u0397 \u03c4\u03b5\u03c7\u03bd\u03b9\u03ba\u03ae \u03b1\u03c0\u03cc\u03b4\u03b5\u03b9\u03be\u03b7 \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03c0\u03b5\u03c1\u03b9\u03bb\u03b1\u03bc\u03b2\u03ac\u03bd\u03b5\u03b9 reproducible configuration, per-client metrics, domain-shift tests, \u03b1\u03c0\u03bf\u03c4\u03c5\u03c7\u03af\u03b5\u03c2 \u03ba\u03b1\u03b9 \u03b1\u03c1\u03bd\u03b7\u03c4\u03b9\u03ba\u03ac \u03b1\u03c0\u03bf\u03c4\u03b5\u03bb\u03ad\u03c3\u03bc\u03b1\u03c4\u03b1. \u0395\u03b9\u03b4\u03b9\u03ba\u03ac \u03b3\u03b9\u03b1 \u03c4\u03bf FedOPAL, \u03bf \u03c0\u03c1\u03bf\u03bc\u03b7\u03b8\u03b5\u03c5\u03c4\u03ae\u03c2 \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03b5\u03be\u03b7\u03b3\u03ae\u03c3\u03b5\u03b9 \u03b3\u03b9\u03b1\u03c4\u03af \u03c4\u03bf \u03b5\u03c0\u03b9\u03bb\u03b5\u03b3\u03bc\u03ad\u03bd\u03bf backbone \u03c4\u03b1\u03b9\u03c1\u03b9\u03ac\u03b6\u03b5\u03b9 \u03c3\u03c4\u03bf visual domain \u03ba\u03b1\u03b9 \u03c4\u03b9 \u03c3\u03c5\u03bc\u03b2\u03b1\u03af\u03bd\u03b5\u03b9 \u03cc\u03c4\u03b1\u03bd \u03ad\u03bd\u03b1\u03c2 client \u03b4\u03b5\u03bd \u03c3\u03c5\u03bc\u03bc\u03b5\u03c4\u03ad\u03c7\u03b5\u03b9, \u03c3\u03c4\u03ad\u03bb\u03bd\u03b5\u03b9 corrupted statistics \u03ae \u03c7\u03c1\u03b7\u03c3\u03b9\u03bc\u03bf\u03c0\u03bf\u03b9\u03b5\u03af \u03ac\u03bb\u03bb\u03b7 \u03ad\u03ba\u03b4\u03bf\u03c3\u03b7.<\/p>\n<p>\u03a4\u03ad\u03bb\u03bf\u03c2, \u03b6\u03b7\u03c4\u03ae\u03c3\u03c4\u03b5 ownership \u03ba\u03b1\u03b9 \u03bb\u03b5\u03b9\u03c4\u03bf\u03c5\u03c1\u03b3\u03af\u03b1: \u03c0\u03bf\u03b9\u03bf\u03c2 \u03b5\u03b3\u03ba\u03c1\u03af\u03bd\u03b5\u03b9 \u03bd\u03ad\u03bf global model, \u03c0\u03bf\u03b9\u03bf\u03c2 \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03b1\u03bd\u03b1\u03ba\u03b1\u03bb\u03ad\u03c3\u03b5\u03b9 client, \u03c0\u03ce\u03c2 \u03b3\u03af\u03bd\u03bf\u03bd\u03c4\u03b1\u03b9 monitoring \u03ba\u03b1\u03b9 incident response \u03ba\u03b1\u03b9 \u03c0\u03ce\u03c2 \u03b1\u03c0\u03bf\u03b4\u03b5\u03b9\u03ba\u03bd\u03cd\u03b5\u03c4\u03b1\u03b9 \u03cc\u03c4\u03b9 \u03c4\u03bf production artifact \u03c0\u03c1\u03bf\u03ae\u03bb\u03b8\u03b5 \u03b1\u03c0\u03cc \u03c4\u03b7\u03bd \u03b5\u03b3\u03ba\u03b5\u03ba\u03c1\u03b9\u03bc\u03ad\u03bd\u03b7 \u03c3\u03c5\u03b3\u03ba\u03ad\u03bd\u03c4\u03c1\u03c9\u03c3\u03b7. \u0397 \u03b4\u03b9\u03b1\u03ba\u03c5\u03b2\u03ad\u03c1\u03bd\u03b7\u03c3\u03b7 \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03b1\u03ba\u03bf\u03bb\u03bf\u03c5\u03b8\u03b5\u03af \u03ba\u03cd\u03ba\u03bb\u03bf govern, map, measure \u03ba\u03b1\u03b9 manage, \u03cc\u03c7\u03b9 \u03bd\u03b1 \u03c4\u03b5\u03bb\u03b5\u03b9\u03ce\u03bd\u03b5\u03b9 \u03c3\u03c4\u03bf demo.<\/p>\n<h2 id=\"symperasma\">\u03a4\u03bf \u03c3\u03c5\u03bc\u03c0\u03ad\u03c1\u03b1\u03c3\u03bc\u03b1 \u03b3\u03b9\u03b1 decision makers<\/h2>\n<p>\u03a4\u03bf FedOPAL \u03b5\u03af\u03bd\u03b1\u03b9 \u03bc\u03b9\u03b1 \u03b5\u03bd\u03b4\u03b9\u03b1\u03c6\u03ad\u03c1\u03bf\u03c5\u03c3\u03b1 \u03b5\u03c1\u03b5\u03c5\u03bd\u03b7\u03c4\u03b9\u03ba\u03ae \u03b1\u03c0\u03ac\u03bd\u03c4\u03b7\u03c3\u03b7 \u03c3\u03b5 \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03cc \u03c0\u03c1\u03cc\u03b2\u03bb\u03b7\u03bc\u03b1: \u03c0\u03ce\u03c2 \u03bd\u03b1 \u03bc\u03b5\u03b9\u03c9\u03b8\u03bf\u03cd\u03bd \u03bf\u03b9 \u03b3\u03cd\u03c1\u03bf\u03b9 \u03b5\u03c0\u03b9\u03ba\u03bf\u03b9\u03bd\u03c9\u03bd\u03af\u03b1\u03c2 \u03cc\u03c4\u03b1\u03bd \u03c0\u03bf\u03bb\u03bb\u03ad\u03c2 edge \u03c3\u03c5\u03c3\u03ba\u03b5\u03c5\u03ad\u03c2 \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03bc\u03ac\u03b8\u03bf\u03c5\u03bd \u03b1\u03c0\u03cc \u03b5\u03c4\u03b5\u03c1\u03bf\u03b3\u03b5\u03bd\u03ae visual data. \u039f \u03c3\u03c5\u03bd\u03b4\u03c5\u03b1\u03c3\u03bc\u03cc\u03c2 local visual prompt tuning \u03ba\u03b1\u03b9 \u03b1\u03bd\u03b1\u03bb\u03c5\u03c4\u03b9\u03ba\u03bf\u03cd classifier \u03b4\u03b5\u03af\u03c7\u03bd\u03b5\u03b9 \u03cc\u03c4\u03b9 \u03b7 \u03c0\u03c1\u03bf\u03c3\u03b1\u03c1\u03bc\u03bf\u03b3\u03ae \u03c4\u03bf\u03c5 feature space \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03b5\u03bd\u03b9\u03c3\u03c7\u03cd\u03c3\u03b5\u03b9 \u03c4\u03bf \u03b1\u03c1\u03c7\u03b9\u03ba\u03cc AFL \u03c7\u03c9\u03c1\u03af\u03c2 iterative server training.<\/p>\n<p>\u03a4\u03bf \u03c0\u03b9\u03bf \u03ce\u03c1\u03b9\u03bc\u03bf \u03b5\u03c0\u03b9\u03c7\u03b5\u03b9\u03c1\u03b7\u03bc\u03b1\u03c4\u03b9\u03ba\u03cc \u03c3\u03c5\u03bc\u03c0\u03ad\u03c1\u03b1\u03c3\u03bc\u03b1 \u03b4\u03b5\u03bd \u03b5\u03af\u03bd\u03b1\u03b9 \u00ab\u03bc\u03af\u03b1 \u03b5\u03c0\u03b9\u03ba\u03bf\u03b9\u03bd\u03c9\u03bd\u03af\u03b1 \u03bb\u03cd\u03bd\u03b5\u03b9 \u03c4\u03bf federated learning\u00bb. \u0395\u03af\u03bd\u03b1\u03b9 \u03cc\u03c4\u03b9 \u03b7 \u03b5\u03c0\u03b9\u03ba\u03bf\u03b9\u03bd\u03c9\u03bd\u03b9\u03b1\u03ba\u03ae \u03b1\u03c0\u03bf\u03b4\u03bf\u03c4\u03b9\u03ba\u03cc\u03c4\u03b7\u03c4\u03b1 \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03b1\u03be\u03b9\u03bf\u03bb\u03bf\u03b3\u03b5\u03af\u03c4\u03b1\u03b9 \u03bc\u03b1\u03b6\u03af \u03bc\u03b5 domain fit, privacy \u03c4\u03c9\u03bd updates, \u03b1\u03bd\u03c4\u03bf\u03c7\u03ae \u03c3\u03b5 \u03ba\u03b1\u03ba\u03cc\u03b2\u03bf\u03c5\u03bb\u03bf\u03c5\u03c2 clients, hardware cost \u03ba\u03b1\u03b9 per-site \u03c0\u03bf\u03b9\u03cc\u03c4\u03b7\u03c4\u03b1. \u03a4\u03bf SVHN \u03b1\u03c0\u03bf\u03c4\u03ad\u03bb\u03b5\u03c3\u03bc\u03b1 \u03c5\u03c0\u03b5\u03bd\u03b8\u03c5\u03bc\u03af\u03b6\u03b5\u03b9 \u03cc\u03c4\u03b9 \u03ad\u03bd\u03b1 \u03b9\u03c3\u03c7\u03c5\u03c1\u03cc benchmark story \u03bc\u03c0\u03bf\u03c1\u03b5\u03af \u03bd\u03b1 \u03c3\u03c0\u03ac\u03c3\u03b5\u03b9 \u03cc\u03c4\u03b1\u03bd \u03b1\u03bb\u03bb\u03ac\u03be\u03b5\u03b9 \u03c4\u03bf domain.<\/p>\n<p>\u0393\u03b9\u03b1 \u03bf\u03c1\u03b3\u03b1\u03bd\u03b9\u03c3\u03bc\u03bf\u03cd\u03c2 \u03bc\u03b5 \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03ae \u03b1\u03bd\u03ac\u03b3\u03ba\u03b7 \u03ba\u03b1\u03c4\u03b1\u03bd\u03b5\u03bc\u03b7\u03bc\u03ad\u03bd\u03b7\u03c2 visual AI, \u03c4\u03bf FedOPAL \u03b1\u03be\u03af\u03b6\u03b5\u03b9 \u03c9\u03c2 \u03b5\u03bb\u03b5\u03b3\u03c7\u03cc\u03bc\u03b5\u03bd\u03bf research pilot. \u0397 \u03b1\u03c0\u03cc\u03c6\u03b1\u03c3\u03b7 \u03b3\u03b9\u03b1 \u03c0\u03b1\u03c1\u03b1\u03b3\u03c9\u03b3\u03ae \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03ad\u03c1\u03b8\u03b5\u03b9 \u03bc\u03cc\u03bd\u03bf \u03bc\u03b5\u03c4\u03ac \u03b1\u03c0\u03cc shadow mode, \u03b1\u03bd\u03b5\u03be\u03ac\u03c1\u03c4\u03b7\u03c4\u03b7 \u03b1\u03be\u03b9\u03bf\u03bb\u03cc\u03b3\u03b7\u03c3\u03b7, \u03c3\u03b1\u03c6\u03ae data boundaries \u03ba\u03b1\u03b9 rollback \u03c0\u03bf\u03c5 \u03ad\u03c7\u03b5\u03b9 \u03b4\u03bf\u03ba\u03b9\u03bc\u03b1\u03c3\u03c4\u03b5\u03af \u03c3\u03c4\u03b7\u03bd \u03c0\u03c1\u03ac\u03be\u03b7.<\/p>\n<section class=\"td-service-cta\">\n<div class=\"td-service-cta-content\">\n<p class=\"td-service-cta-kicker\">Edge AI pilot \u03bc\u03b5 \u03bc\u03b5\u03c4\u03c1\u03ae\u03c3\u03b9\u03bc\u03b1 \u03cc\u03c1\u03b9\u03b1<\/p>\n<h3>\u03a3\u03c7\u03b5\u03b4\u03b9\u03ac\u03c3\u03c4\u03b5 \u03c4\u03bf federated workflow \u03c0\u03c1\u03b9\u03bd \u03b5\u03c0\u03b9\u03bb\u03ad\u03be\u03b5\u03c4\u03b5 \u03b1\u03bb\u03b3\u03cc\u03c1\u03b9\u03b8\u03bc\u03bf<\/h3>\n<p>\u0397 TWO DOTS \u03bf\u03c1\u03b3\u03b1\u03bd\u03ce\u03bd\u03b5\u03b9 AI \u03ba\u03b1\u03b9 automation pilots \u03bc\u03b5 data-flow mapping, hardware \u03ba\u03b1\u03b9 network baselines, privacy controls, shadow testing, monitoring \u03ba\u03b1\u03b9 go\/no-go \u03ba\u03c1\u03b9\u03c4\u03ae\u03c1\u03b9\u03b1, \u03ce\u03c3\u03c4\u03b5 \u03b7 \u03c4\u03b5\u03c7\u03bd\u03b9\u03ba\u03ae \u03c5\u03c0\u03cc\u03c3\u03c7\u03b5\u03c3\u03b7 \u03bd\u03b1 \u03bc\u03b5\u03c4\u03b1\u03c6\u03c1\u03ac\u03b6\u03b5\u03c4\u03b1\u03b9 \u03c3\u03b5 \u03b5\u03bb\u03b5\u03b3\u03c7\u03cc\u03bc\u03b5\u03bd\u03bf \u03b5\u03c0\u03b9\u03c7\u03b5\u03b9\u03c1\u03b7\u03c3\u03b9\u03b1\u03ba\u03cc \u03b1\u03c0\u03bf\u03c4\u03ad\u03bb\u03b5\u03c3\u03bc\u03b1.<\/p>\n<div class=\"td-service-cta-actions\"><a class=\"td-service-cta-button\" href=\"https:\/\/twodots.gr\/aftomatismoi-epicheiriseon-ai\/\">\u0394\u03b5\u03af\u03c4\u03b5 \u03c4\u03bf\u03c5\u03c2 \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><\/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\">Frequently Asked Questions (FAQs)<\/p>\n<details class=\"td-faq-item\">\n<summary class=\"td-faq-title\">\u03a4\u03b9 \u03b5\u03af\u03bd\u03b1\u03b9 \u03c4\u03bf FedOPAL;<\/summary>\n<div class=\"td-faq-content\">\n<p>\u03a4\u03bf FedOPAL \u03b5\u03af\u03bd\u03b1\u03b9 \u03b5\u03c1\u03b5\u03c5\u03bd\u03b7\u03c4\u03b9\u03ba\u03cc \u03c0\u03bb\u03b1\u03af\u03c3\u03b9\u03bf one-shot federated learning \u03b3\u03b9\u03b1 \u03b5\u03c1\u03b3\u03b1\u03c3\u03af\u03b5\u03c2 \u03c4\u03b1\u03be\u03b9\u03bd\u03cc\u03bc\u03b7\u03c3\u03b7\u03c2 \u03b5\u03b9\u03ba\u03cc\u03bd\u03c9\u03bd. \u03a0\u03c1\u03bf\u03c3\u03b1\u03c1\u03bc\u03cc\u03b6\u03b5\u03b9 \u03c4\u03bf\u03c0\u03b9\u03ba\u03ac \u03bc\u03b9\u03ba\u03c1\u03ac visual prompt tokens \u03c0\u03ac\u03bd\u03c9 \u03c3\u03b5 \u03c0\u03b1\u03b3\u03c9\u03bc\u03ad\u03bd\u03bf CLIP backbone \u03ba\u03b1\u03b9 \u03c5\u03c0\u03bf\u03bb\u03bf\u03b3\u03af\u03b6\u03b5\u03b9 \u03c4\u03bf\u03bd \u03c0\u03b1\u03b3\u03ba\u03cc\u03c3\u03bc\u03b9\u03bf \u03c4\u03b1\u03be\u03b9\u03bd\u03bf\u03bc\u03b7\u03c4\u03ae \u03bc\u03b5 \u03b1\u03bd\u03b1\u03bb\u03c5\u03c4\u03b9\u03ba\u03ae, \u03ba\u03bb\u03b5\u03b9\u03c3\u03c4\u03ae\u03c2 \u03bc\u03bf\u03c1\u03c6\u03ae\u03c2 \u03bb\u03cd\u03c3\u03b7 \u03c3\u03c4\u03bf\u03bd server.<\/p>\n<\/div>\n<\/details>\n<details class=\"td-faq-item\">\n<summary class=\"td-faq-title\">\u03a4\u03b9 \u03c3\u03b7\u03bc\u03b1\u03af\u03bd\u03b5\u03b9 \u00ab\u03bc\u03af\u03b1 \u03bc\u03cc\u03bd\u03bf \u03b5\u03c0\u03b9\u03ba\u03bf\u03b9\u03bd\u03c9\u03bd\u03af\u03b1\u00bb;<\/summary>\n<div class=\"td-faq-content\">\n<p>\u03a3\u03b7\u03bc\u03b1\u03af\u03bd\u03b5\u03b9 \u03cc\u03c4\u03b9 \u03bf\u03b9 clients \u03c3\u03c4\u03ad\u03bb\u03bd\u03bf\u03c5\u03bd \u03bc\u03af\u03b1 \u03c6\u03bf\u03c1\u03ac \u03c4\u03b1 \u03b2\u03b5\u03bb\u03c4\u03b9\u03c3\u03c4\u03bf\u03c0\u03bf\u03b9\u03b7\u03bc\u03ad\u03bd\u03b1 prompt tokens \u03ba\u03b1\u03b9 \u03c4\u03b1 \u03b5\u03c0\u03b1\u03c1\u03ba\u03ae \u03c3\u03c4\u03b1\u03c4\u03b9\u03c3\u03c4\u03b9\u03ba\u03ac \u03c4\u03bf\u03c5\u03c2 \u03c3\u03c4\u03bf\u03bd server. \u039f server \u03c4\u03b1 \u03c3\u03c5\u03b3\u03ba\u03b5\u03bd\u03c4\u03c1\u03ce\u03bd\u03b5\u03b9, \u03c5\u03c0\u03bf\u03bb\u03bf\u03b3\u03af\u03b6\u03b5\u03b9 \u03c4\u03bf\u03bd global prompt \u03ba\u03b1\u03b9 \u03c4\u03bf\u03bd \u03b1\u03bd\u03b1\u03bb\u03c5\u03c4\u03b9\u03ba\u03cc classifier \u03ba\u03b1\u03b9 \u03b5\u03c0\u03b9\u03c3\u03c4\u03c1\u03ad\u03c6\u03b5\u03b9 \u03c4\u03bf \u03c4\u03b5\u03bb\u03b9\u03ba\u03cc \u03b1\u03c0\u03bf\u03c4\u03ad\u03bb\u03b5\u03c3\u03bc\u03b1, \u03c7\u03c9\u03c1\u03af\u03c2 \u03b5\u03c0\u03b1\u03bd\u03b1\u03bb\u03b1\u03bc\u03b2\u03b1\u03bd\u03cc\u03bc\u03b5\u03bd\u03bf\u03c5\u03c2 \u03b3\u03cd\u03c1\u03bf\u03c5\u03c2 \u03bf\u03bc\u03bf\u03c3\u03c0\u03bf\u03bd\u03b4\u03b9\u03b1\u03ba\u03ae\u03c2 \u03b5\u03ba\u03c0\u03b1\u03af\u03b4\u03b5\u03c5\u03c3\u03b7\u03c2.<\/p>\n<\/div>\n<\/details>\n<details class=\"td-faq-item\">\n<summary class=\"td-faq-title\">\u03a4\u03bf FedOPAL \u03c3\u03c4\u03ad\u03bb\u03bd\u03b5\u03b9 \u03c4\u03b9\u03c2 \u03b1\u03c1\u03c7\u03b9\u03ba\u03ad\u03c2 \u03b5\u03b9\u03ba\u03cc\u03bd\u03b5\u03c2 \u03c3\u03c4\u03bf\u03bd server;<\/summary>\n<div class=\"td-faq-content\">\n<p>\u038c\u03c7\u03b9 \u03c3\u03cd\u03bc\u03c6\u03c9\u03bd\u03b1 \u03bc\u03b5 \u03c4\u03bf\u03bd \u03c3\u03c7\u03b5\u03b4\u03b9\u03b1\u03c3\u03bc\u03cc \u03c4\u03bf\u03c5 paper. \u039f\u03b9 \u03b5\u03b9\u03ba\u03cc\u03bd\u03b5\u03c2 \u03bc\u03ad\u03bd\u03bf\u03c5\u03bd \u03c3\u03c4\u03bf\u03c5\u03c2 \u03c4\u03bf\u03c0\u03b9\u03ba\u03bf\u03cd\u03c2 clients \u03ba\u03b1\u03b9 \u03bc\u03b5\u03c4\u03b1\u03b4\u03af\u03b4\u03bf\u03bd\u03c4\u03b1\u03b9 prompt tokens \u03ba\u03b1\u03b9 \u03c3\u03c4\u03b1\u03c4\u03b9\u03c3\u03c4\u03b9\u03ba\u03bf\u03af \u03c0\u03af\u03bd\u03b1\u03ba\u03b5\u03c2. \u0391\u03c5\u03c4\u03cc \u03bc\u03b5\u03b9\u03ce\u03bd\u03b5\u03b9 \u03c4\u03b7\u03bd \u03ac\u03bc\u03b5\u03c3\u03b7 \u03bc\u03b5\u03c4\u03b1\u03c6\u03bf\u03c1\u03ac raw data, \u03b1\u03bb\u03bb\u03ac \u03b4\u03b5\u03bd \u03b1\u03c0\u03bf\u03b4\u03b5\u03b9\u03ba\u03bd\u03cd\u03b5\u03b9 \u03b1\u03c0\u03cc \u03bc\u03cc\u03bd\u03bf \u03c4\u03bf\u03c5 \u03cc\u03c4\u03b9 \u03bf\u03b9 \u03b5\u03bd\u03b7\u03bc\u03b5\u03c1\u03ce\u03c3\u03b5\u03b9\u03c2 \u03b4\u03b5\u03bd \u03b4\u03b9\u03b1\u03c1\u03c1\u03ad\u03bf\u03c5\u03bd \u03c0\u03bb\u03b7\u03c1\u03bf\u03c6\u03bf\u03c1\u03af\u03b1.<\/p>\n<\/div>\n<\/details>\n<details class=\"td-faq-item\">\n<summary class=\"td-faq-title\">\u0395\u03af\u03bd\u03b1\u03b9 \u03c4\u03bf federated learning \u03b1\u03c0\u03cc \u03bc\u03cc\u03bd\u03bf \u03c4\u03bf\u03c5 \u03b5\u03b3\u03b3\u03cd\u03b7\u03c3\u03b7 \u03b9\u03b4\u03b9\u03c9\u03c4\u03b9\u03ba\u03cc\u03c4\u03b7\u03c4\u03b1\u03c2;<\/summary>\n<div class=\"td-faq-content\">\n<p>\u038c\u03c7\u03b9. \u0397 NIST \u03b5\u03c0\u03b9\u03c3\u03b7\u03bc\u03b1\u03af\u03bd\u03b5\u03b9 \u03cc\u03c4\u03b9 model updates \u03ba\u03b1\u03b9 \u03b5\u03ba\u03c0\u03b1\u03b9\u03b4\u03b5\u03c5\u03bc\u03ad\u03bd\u03b1 \u03bc\u03bf\u03bd\u03c4\u03ad\u03bb\u03b1 \u03bc\u03c0\u03bf\u03c1\u03bf\u03cd\u03bd \u03bd\u03b1 \u03b1\u03c0\u03bf\u03c4\u03b5\u03bb\u03ad\u03c3\u03bf\u03c5\u03bd \u03c3\u03c4\u03cc\u03c7\u03bf privacy attacks. \u0391\u03c0\u03b1\u03b9\u03c4\u03bf\u03cd\u03bd\u03c4\u03b1\u03b9 threat model, secure aggregation \u03ae \u03ac\u03bb\u03bb\u03b7 \u03ba\u03c1\u03c5\u03c0\u03c4\u03bf\u03b3\u03c1\u03b1\u03c6\u03b9\u03ba\u03ae \u03c0\u03c1\u03bf\u03c3\u03c4\u03b1\u03c3\u03af\u03b1 \u03cc\u03c0\u03bf\u03c5 \u03c7\u03c1\u03b5\u03b9\u03ac\u03b6\u03b5\u03c4\u03b1\u03b9, data minimization, access controls \u03ba\u03b1\u03b9 \u03b5\u03bb\u03b5\u03b3\u03c7\u03cc\u03bc\u03b5\u03bd\u03b7 \u03b4\u03b9\u03b1\u03c4\u03ae\u03c1\u03b7\u03c3\u03b7 artifacts.<\/p>\n<\/div>\n<\/details>\n<details class=\"td-faq-item\">\n<summary class=\"td-faq-title\">\u03a4\u03b9 \u03ad\u03b4\u03b5\u03b9\u03be\u03b5 \u03c4\u03bf FedOPAL \u03c3\u03c4\u03b1 benchmarks;<\/summary>\n<div class=\"td-faq-content\">\n<p>\u03a3\u03c4\u03bf setup \u03c4\u03c9\u03bd \u03c3\u03c5\u03b3\u03b3\u03c1\u03b1\u03c6\u03ad\u03c9\u03bd \u03bc\u03b5 10 clients \u03ba\u03b1\u03b9 CLIP ViT-B\/16 \u03c0\u03ad\u03c4\u03c5\u03c7\u03b5 93,72% \u03c3\u03c4\u03bf CIFAR-10 \u03ba\u03b1\u03b9 75,51% \u03c3\u03c4\u03bf CIFAR-100 \u03b3\u03b9\u03b1 Dirichlet \u03b1=0,1. \u03a3\u03c4\u03bf SVHN \u03cc\u03bc\u03c9\u03c2 \u03ad\u03bc\u03b5\u03b9\u03bd\u03b5 \u03c3\u03c4\u03bf 47,05%, \u03c7\u03b1\u03bc\u03b7\u03bb\u03cc\u03c4\u03b5\u03c1\u03b1 \u03b1\u03c0\u03cc \u03c4\u03bf FedCGS, \u03ac\u03c1\u03b1 \u03c4\u03b1 \u03b1\u03c0\u03bf\u03c4\u03b5\u03bb\u03ad\u03c3\u03bc\u03b1\u03c4\u03b1 \u03b4\u03b5\u03bd \u03b3\u03b5\u03bd\u03b9\u03ba\u03b5\u03cd\u03bf\u03bd\u03c4\u03b1\u03b9 \u03c3\u03b5 \u03ba\u03ac\u03b8\u03b5 visual domain.<\/p>\n<\/div>\n<\/details>\n<details class=\"td-faq-item\">\n<summary class=\"td-faq-title\">\u0395\u03af\u03bd\u03b1\u03b9 \u03c4\u03bf FedOPAL \u03ad\u03c4\u03bf\u03b9\u03bc\u03bf \u03b3\u03b9\u03b1 \u03c0\u03b1\u03c1\u03b1\u03b3\u03c9\u03b3\u03b9\u03ba\u03ae \u03c7\u03c1\u03ae\u03c3\u03b7;<\/summary>\n<div class=\"td-faq-content\">\n<p>\u03a4\u03bf \u03b4\u03b9\u03b1\u03b8\u03ad\u03c3\u03b9\u03bc\u03bf \u03c5\u03bb\u03b9\u03ba\u03cc \u03b5\u03af\u03bd\u03b1\u03b9 \u03b5\u03c1\u03b3\u03b1\u03c3\u03af\u03b1 arXiv v1, \u03b1\u03c0\u03bf\u03b4\u03b5\u03ba\u03c4\u03ae \u03c3\u03c4\u03bf FLICS 2026, \u03ba\u03b1\u03b9 \u03ad\u03bd\u03b1 \u03bc\u03b9\u03ba\u03c1\u03cc \u03b5\u03c0\u03af\u03c3\u03b7\u03bc\u03bf repository. \u0394\u03b5\u03bd \u03b1\u03c0\u03bf\u03c4\u03b5\u03bb\u03b5\u03af managed product \u03ae \u03b1\u03c0\u03cc\u03b4\u03b5\u03b9\u03be\u03b7 production readiness. \u039c\u03b9\u03b1 \u03b5\u03c0\u03b9\u03c7\u03b5\u03af\u03c1\u03b7\u03c3\u03b7 \u03c7\u03c1\u03b5\u03b9\u03ac\u03b6\u03b5\u03c4\u03b1\u03b9 \u03b4\u03b9\u03ba\u03cc \u03c4\u03b7\u03c2 pilot \u03bc\u03b5 \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03b9\u03ba\u03cc hardware, \u03b4\u03af\u03ba\u03c4\u03c5\u03bf, \u03b4\u03b5\u03b4\u03bf\u03bc\u03ad\u03bd\u03b1, privacy controls \u03ba\u03b1\u03b9 rollback.<\/p>\n<\/div>\n<\/details>\n<details class=\"td-faq-item\">\n<summary class=\"td-faq-title\">\u03a0\u03bf\u03b9\u03bf \u03b5\u03af\u03bd\u03b1\u03b9 \u03c4\u03bf \u03c0\u03c1\u03ce\u03c4\u03bf \u03b2\u03ae\u03bc\u03b1 \u03b3\u03b9\u03b1 \u03bc\u03b9\u03b1 \u03b5\u03c0\u03b9\u03c7\u03b5\u03af\u03c1\u03b7\u03c3\u03b7 \u03c0\u03bf\u03c5 \u03b5\u03be\u03b5\u03c4\u03ac\u03b6\u03b5\u03b9 edge federated learning;<\/summary>\n<div class=\"td-faq-content\">\n<p>\u039d\u03b1 \u03bf\u03c1\u03af\u03c3\u03b5\u03b9 \u03bc\u03af\u03b1 \u03c3\u03c4\u03b5\u03bd\u03ae \u03b5\u03c1\u03b3\u03b1\u03c3\u03af\u03b1 \u03c4\u03b1\u03be\u03b9\u03bd\u03cc\u03bc\u03b7\u03c3\u03b7\u03c2 \u03bc\u03b5 \u03c3\u03b1\u03c6\u03ae ground truth, \u03bd\u03b1 \u03bc\u03b5\u03c4\u03c1\u03ae\u03c3\u03b5\u03b9 \u03c4\u03bf \u03c3\u03b7\u03bc\u03b5\u03c1\u03b9\u03bd\u03cc bandwidth \u03ba\u03b1\u03b9 latency \u03ba\u03b1\u03b9 \u03bd\u03b1 \u03b4\u03b7\u03bc\u03b9\u03bf\u03c5\u03c1\u03b3\u03ae\u03c3\u03b5\u03b9 shadow pilot \u03c7\u03c9\u03c1\u03af\u03c2 \u03b1\u03c5\u03c4\u03cc\u03bd\u03bf\u03bc\u03b5\u03c2 \u03b1\u03c0\u03bf\u03c6\u03ac\u03c3\u03b5\u03b9\u03c2. \u0397 \u03c3\u03cd\u03b3\u03ba\u03c1\u03b9\u03c3\u03b7 \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03c0\u03b5\u03c1\u03b9\u03bb\u03b1\u03bc\u03b2\u03ac\u03bd\u03b5\u03b9 \u03c0\u03bf\u03b9\u03cc\u03c4\u03b7\u03c4\u03b1 \u03b1\u03bd\u03ac client, \u03b4\u03b9\u03b1\u03c1\u03c1\u03bf\u03ae \u03b5\u03bd\u03b7\u03bc\u03b5\u03c1\u03ce\u03c3\u03b5\u03c9\u03bd, \u03ba\u03cc\u03c3\u03c4\u03bf\u03c2 \u03bb\u03b5\u03b9\u03c4\u03bf\u03c5\u03c1\u03b3\u03af\u03b1\u03c2 \u03ba\u03b1\u03b9 \u03c3\u03c5\u03bc\u03c0\u03b5\u03c1\u03b9\u03c6\u03bf\u03c1\u03ac \u03c3\u03b5 \u03bd\u03ad\u03b1 domains.<\/p>\n<\/div>\n<\/details>\n<\/div>\n<\/section>\n<div class=\"td-source-list\">\n<p id=\"piges\" class=\"td-source-list-title\">Sources<\/p>\n<ul>\n<li><a href=\"https:\/\/arxiv.org\/abs\/2607.08368\" target=\"_blank\" rel=\"noopener\">Qiu et al. \u2014 FedOPAL: One-Shot Federated Learning via Analytic Visual Prompt Tuning (arXiv v1, 2026)<\/a><\/li>\n<li><a href=\"https:\/\/github.com\/Lynn0925\/FLICS\" target=\"_blank\" rel=\"noopener\">Lynn0925\/FLICS \u2014 \u03b5\u03c0\u03af\u03c3\u03b7\u03bc\u03bf repository \u03ba\u03ce\u03b4\u03b9\u03ba\u03b1 \u03c4\u03bf\u03c5 FedOPAL<\/a><\/li>\n<li><a href=\"https:\/\/openaccess.thecvf.com\/content\/CVPR2025\/html\/He_AFL_A_Single-Round_Analytic_Approach_for_Federated_Learning_with_Pre-trained_CVPR_2025_paper.html\" target=\"_blank\" rel=\"noopener\">CVPR 2025 \u2014 AFL: A Single-Round Analytic Approach for Federated Learning with Pre-trained Models<\/a><\/li>\n<li><a href=\"https:\/\/www.nist.gov\/blogs\/cybersecurity-insights\/privacy-attacks-federated-learning\" target=\"_blank\" rel=\"noopener\">NIST \u2014 Privacy Attacks in Federated Learning<\/a><\/li>\n<li><a href=\"https:\/\/www.nist.gov\/itl\/ai-risk-management-framework\" target=\"_blank\" rel=\"noopener\">NIST \u2014 AI Risk Management Framework<\/a><\/li>\n<\/ul>\n<\/div>","protected":false},"excerpt":{"rendered":"<p>\u03a4\u03b9 \u03b5\u03af\u03bd\u03b1\u03b9 \u03c4\u03bf FedOPAL, \u03c0\u03ce\u03c2 \u03bc\u03b5\u03b9\u03ce\u03bd\u03b5\u03b9 \u03c4\u03bf federated learning \u03c3\u03b5 \u03bc\u03af\u03b1 \u03b5\u03c0\u03b9\u03ba\u03bf\u03b9\u03bd\u03c9\u03bd\u03af\u03b1 \u03ba\u03b1\u03b9 \u03c0\u03bf\u03b9\u03b1 \u03cc\u03c1\u03b9\u03b1 \u03c0\u03c1\u03ad\u03c0\u03b5\u03b9 \u03bd\u03b1 \u03b5\u03bb\u03ad\u03b3\u03be\u03bf\u03c5\u03bd \u03bf\u03b9 \u03b5\u03c0\u03b9\u03c7\u03b5\u03b9\u03c1\u03ae\u03c3\u03b5\u03b9\u03c2 \u03c0\u03c1\u03b9\u03bd \u03b1\u03c0\u03cc \u03b5\u03c6\u03b1\u03c1\u03bc\u03bf\u03b3\u03ae \u03c3\u03c4\u03bf edge.<\/p>","protected":false},"author":1,"featured_media":85992,"comment_status":"open","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"_gspb_post_css":"","footnotes":""},"categories":[199],"tags":[7203,18379,18381,18380,18382],"class_list":["post-85346","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-techniti-noimosyni","tag-edge-ai","tag-federated-learning","tag-foundation-models","tag-visual-prompt-tuning","tag-epicheirisiaki-ai"],"blocksy_meta":[],"_links":{"self":[{"href":"https:\/\/twodots.gr\/en\/wp-json\/wp\/v2\/posts\/85346","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/twodots.gr\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/twodots.gr\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/twodots.gr\/en\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/twodots.gr\/en\/wp-json\/wp\/v2\/comments?post=85346"}],"version-history":[{"count":1,"href":"https:\/\/twodots.gr\/en\/wp-json\/wp\/v2\/posts\/85346\/revisions"}],"predecessor-version":[{"id":85993,"href":"https:\/\/twodots.gr\/en\/wp-json\/wp\/v2\/posts\/85346\/revisions\/85993"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/twodots.gr\/en\/wp-json\/wp\/v2\/media\/85992"}],"wp:attachment":[{"href":"https:\/\/twodots.gr\/en\/wp-json\/wp\/v2\/media?parent=85346"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/twodots.gr\/en\/wp-json\/wp\/v2\/categories?post=85346"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/twodots.gr\/en\/wp-json\/wp\/v2\/tags?post=85346"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}