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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Published in | Journal of parallel and distributed computing Vol. 205; p. 105155 |
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Main Authors | , , , , |
Format | Journal Article |
Language | English |
Published |
Elsevier Inc
01.11.2025
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Subjects | |
Online Access | Get full text |
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