{"id":129,"date":"2023-10-04T00:08:42","date_gmt":"2023-10-03T23:08:42","guid":{"rendered":"https:\/\/wp.lancs.ac.uk\/colab\/?p=129"},"modified":"2024-12-15T00:15:46","modified_gmt":"2024-12-15T00:15:46","slug":"robust-federated-learning-method-against-data-and-model-poisoning-attacks-with-heterogeneous-data-distribution","status":"publish","type":"post","link":"https:\/\/wp.lancs.ac.uk\/colab\/2023\/10\/04\/robust-federated-learning-method-against-data-and-model-poisoning-attacks-with-heterogeneous-data-distribution\/","title":{"rendered":"Robust Federated Learning Method against Data and Model Poisoning Attacks with Heterogeneous Data Distribution"},"content":{"rendered":"<p><img loading=\"lazy\" decoding=\"async\" src=\"http:\/\/wp.lancs.ac.uk\/colab\/files\/2024\/12\/rfcl.png\" alt=\"\" width=\"540\" height=\"471\" class=\"aligncenter size-full wp-image-130\" srcset=\"https:\/\/wp.lancs.ac.uk\/colab\/files\/2024\/12\/rfcl.png 540w, https:\/\/wp.lancs.ac.uk\/colab\/files\/2024\/12\/rfcl-300x262.png 300w\" sizes=\"auto, (max-width: 540px) 100vw, 540px\" \/><\/p>\n<p>We presented at the European Conference on Artificial Intelligence (ECAI) the work &#8220;Robust Federated Learning Method against Data and Model Poisoning Attacks with Heterogeneous Data Distribution&#8221;. The work introduces a novel technique for defending against data and model poisoning attacks in federated learning, even when there is high data heterogeneity. The paper is available for free <a href=\"https:\/\/www.research.lancs.ac.uk\/portal\/services\/downloadRegister\/398419589\/1129Alharbi.pdf\">here<\/a>, and the source code is available on <a href=\"https:\/\/github.com\/EbtisaamCS\/RFCL\">GitHub<\/a>.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>We presented at the European Conference on Artificial Intelligence (ECAI) the work &#8220;Robust Federated Learning Method against Data and Model Poisoning Attacks with Heterogeneous Data Distribution&#8221;. The work introduces a novel technique for defending against data and model poisoning attacks in federated learning, even when there is high data heterogeneity. The paper is available for [&hellip;]<\/p>\n","protected":false},"author":1432,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_jetpack_memberships_contains_paid_content":false,"footnotes":""},"categories":[3],"tags":[],"class_list":["post-129","post","type-post","status-publish","format-standard","hentry","category-news"],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/wp.lancs.ac.uk\/colab\/wp-json\/wp\/v2\/posts\/129","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/wp.lancs.ac.uk\/colab\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/wp.lancs.ac.uk\/colab\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/wp.lancs.ac.uk\/colab\/wp-json\/wp\/v2\/users\/1432"}],"replies":[{"embeddable":true,"href":"https:\/\/wp.lancs.ac.uk\/colab\/wp-json\/wp\/v2\/comments?post=129"}],"version-history":[{"count":1,"href":"https:\/\/wp.lancs.ac.uk\/colab\/wp-json\/wp\/v2\/posts\/129\/revisions"}],"predecessor-version":[{"id":131,"href":"https:\/\/wp.lancs.ac.uk\/colab\/wp-json\/wp\/v2\/posts\/129\/revisions\/131"}],"wp:attachment":[{"href":"https:\/\/wp.lancs.ac.uk\/colab\/wp-json\/wp\/v2\/media?parent=129"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/wp.lancs.ac.uk\/colab\/wp-json\/wp\/v2\/categories?post=129"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/wp.lancs.ac.uk\/colab\/wp-json\/wp\/v2\/tags?post=129"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}