{"id":1562,"date":"2025-02-18T12:41:25","date_gmt":"2025-02-18T11:41:25","guid":{"rendered":"https:\/\/ai4cyber.eu\/?p=1562"},"modified":"2025-02-18T12:50:06","modified_gmt":"2025-02-18T11:50:06","slug":"news-from-our-partners-at-minds","status":"publish","type":"post","link":"https:\/\/ai4cyber.eu\/?p=1562","title":{"rendered":"News from Our Partners at MINDS"},"content":{"rendered":"<p data-start=\"55\" data-end=\"235\">Our esteemed partners at <strong data-start=\"80\" data-end=\"112\">MetaMind Innovations &#8211; MINDS<\/strong> have achieved a significant milestone in advancing <strong data-start=\"164\" data-end=\"230\">Federated Learning (FL) for Intrusion Detection Systems (IDS)!<\/strong> \ud83c\udf89<\/p>\n<p data-start=\"237\" data-end=\"329\">\ud83d\udd0d <strong data-start=\"240\" data-end=\"327\">Introducing StatAvg: A New Baseline for Tackling Data Heterogeneity in FL-based IDS<\/strong><\/p>\n<p data-start=\"331\" data-end=\"572\">Data heterogeneity is a major challenge in FL, especially for cybersecurity applications. <strong data-start=\"421\" data-end=\"432\">StatAvg<\/strong> addresses this by leveraging global statistical aggregation, <strong data-start=\"494\" data-end=\"522\">enhancing FL performance<\/strong> and improving intrusion detection capabilities.<\/p>\n<p data-start=\"574\" data-end=\"807\">\ud83d\udd2c <strong data-start=\"577\" data-end=\"600\">What\u2019s Implemented?<\/strong><br data-start=\"600\" data-end=\"603\" \/>\u2705 Replication of the key experiments from the research paper using the <strong data-start=\"674\" data-end=\"693\">TON IoT dataset<\/strong><br data-start=\"693\" data-end=\"696\" \/>\u2705 Reproduction of <strong data-start=\"714\" data-end=\"726\">Figure 3<\/strong>, demonstrating the effectiveness of <strong data-start=\"763\" data-end=\"774\">StatAvg<\/strong> in handling heterogeneous data<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Our esteemed partners at MetaMind Innovations &#8211; MINDS have achieved a significant milestone in advancing Federated Learning (FL) for Intrusion Detection Systems (IDS)! \ud83c\udf89 \ud83d\udd0d Introducing StatAvg: A New Baseline for Tackling Data Heterogeneity in FL-based IDS Data heterogeneity is a major challenge in FL, especially for cybersecurity applications. StatAvg addresses this by leveraging global [&hellip;]<\/p>\n","protected":false},"author":4,"featured_media":1564,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_et_pb_use_builder":"","_et_pb_old_content":"","_et_gb_content_width":"","footnotes":""},"categories":[9,1],"tags":[],"class_list":["post-1562","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-news","category-sin-categoria"],"_links":{"self":[{"href":"https:\/\/ai4cyber.eu\/index.php?rest_route=\/wp\/v2\/posts\/1562","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/ai4cyber.eu\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/ai4cyber.eu\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/ai4cyber.eu\/index.php?rest_route=\/wp\/v2\/users\/4"}],"replies":[{"embeddable":true,"href":"https:\/\/ai4cyber.eu\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=1562"}],"version-history":[{"count":1,"href":"https:\/\/ai4cyber.eu\/index.php?rest_route=\/wp\/v2\/posts\/1562\/revisions"}],"predecessor-version":[{"id":1563,"href":"https:\/\/ai4cyber.eu\/index.php?rest_route=\/wp\/v2\/posts\/1562\/revisions\/1563"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/ai4cyber.eu\/index.php?rest_route=\/wp\/v2\/media\/1564"}],"wp:attachment":[{"href":"https:\/\/ai4cyber.eu\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=1562"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/ai4cyber.eu\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=1562"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/ai4cyber.eu\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=1562"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}