FedSC: A federated learning algorithm based on client-side clustering

In traditional centralized machine learning frameworks, the consolidation of all data in a central data center for processing poses significant concerns related to data privacy breaches and data sharing complexities. In contrast, federated learning presents a privacy-preserving paradigm by training...

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Bibliographic Details

Published in:	Electronic Research Archive
Main Authors:	Zhuang Wang, Renting Liu, Jie Xu, Yusheng Fu
Format:	Article
Language:	English
Published:	AIMS Press 2023-07-01
Subjects:	machine learning federated learning data protection privacy protection non-iid
Online Access:	https://www.aimspress.com/article/doi/10.3934/era.2023266?viewType=HTML