Federated Multi-Task Learning on Non-IID Data Silos: An Experimental Study

The innovative Federated Multi-Task Learning (FMTL) approach consolidates the benefits of Federated Learning (FL) and Multi-Task Learning (MTL), enabling collaborative model training on multi-task learning datasets. However, a comprehensive evaluation method, integrating the unique features of both...

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Veröffentlicht in:	arXiv.org 2024-04
Hauptverfasser:	Yang, Yuwen, Lu, Yuxiang, Huang, Suizhi, Sirejiding, Shalayiding, Lu, Hongtao, Ding, Yue
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Energy consumption Source code
Online-Zugang:	Volltext
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