Federated multi-task learning with cross-device heterogeneous task subsets

Traditional Federated Learning (FL) predominantly focuses on task-consistent scenarios, assuming clients possess identical tasks or task sets. However, in multi-task scenarios, client task sets can vary greatly due to their operating environments, available resources, and hardware configurations. Co...

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Bibliographic Details
Published inJournal of parallel and distributed computing Vol. 205; p. 105155
Main Authors Xin, Zewei, Li, Qinya, Niu, Chaoyue, Wu, Fan, Chen, Guihai
Format Journal Article
LanguageEnglish
Published Elsevier Inc 01.11.2025
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