{"id":850,"date":"2024-12-28T04:04:54","date_gmt":"2024-12-28T04:04:54","guid":{"rendered":"https:\/\/mailitics.com\/index.php\/2024\/12\/28\/a-comprehensive-survey-of-federated-transfer-learning-challenges-methods-and-applications\/"},"modified":"2024-12-28T04:04:54","modified_gmt":"2024-12-28T04:04:54","slug":"a-comprehensive-survey-of-federated-transfer-learning-challenges-methods-and-applications","status":"publish","type":"post","link":"https:\/\/mailitics.com\/index.php\/2024\/12\/28\/a-comprehensive-survey-of-federated-transfer-learning-challenges-methods-and-applications\/","title":{"rendered":"A comprehensive survey of federated transfer learning: Challenges, methods and applications"},"content":{"rendered":"<p>    A comprehensive survey of federated transfer learning: Challenges, methods and applications<br \/>\n \t<BR><br \/>\n<BR><\/BR><br \/>\n    <!-- no image --><br \/>\n \t<BR><br \/>\n<BR><\/BR><\/p>\n<div>Federated Learning (FL) has gained significant attention as a novel distributed machine learning paradigm that enables collaborative model training while preserving data privacy. However, traditional FL methods face challenges such as data heterogeneity, system heterogeneity, and labeled data scarcity.<\/div>\n<p> \t<BR><br \/>\n <BR><\/BR><\/p>\n<p> \t<BR><br \/>\n<BR><\/BR><br \/>\n<a href=\"https:\/\/techxplore.com\/news\/2024-12-comprehensive-survey-federated-methods-applications.html\">Go to techxplore<\/a><br \/>\n \t<BR><br \/>\n <BR><\/BR><\/p>\n","protected":false},"excerpt":{"rendered":"<p>A comprehensive survey of federated transfer learning: Challenges, methods and applications Federated Learning (FL) has gained significant attention as a novel distributed machine learning paradigm that enables collaborative model training while preserving data privacy. However, traditional FL methods face challenges such as data heterogeneity, system heterogeneity, and labeled data scarcity. Go to techxplore<\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[53,45],"tags":[50],"class_list":["post-850","post","type-post","status-publish","format-standard","hentry","category-machine-learning-ai","category-techxplore","tag-techxplore"],"_links":{"self":[{"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/posts\/850"}],"collection":[{"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/comments?post=850"}],"version-history":[{"count":0,"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/posts\/850\/revisions"}],"wp:attachment":[{"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/media?parent=850"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/categories?post=850"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/tags?post=850"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}