Topology design and graph embedding for decentralized federated learning

Federated learning has been widely employed in many applications to protect the data privacy of participating clients. Although the dataset is decentralized among training devices in federated learning, the model parameters are usually stored in a centralized manner. Centralized federated learning i...

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Bibliographic Details

Published in:	Intelligent and Converged Networks
Main Authors:	Yubin Duan, Xiuqi Li, Jie Wu
Format:	Article
Language:	English
Published:	Tsinghua University Press 2024-06-01
Subjects:	data heterogeneity decentralized federated learning graph embedding network topology
Online Access:	https://www.sciopen.com/article/10.23919/ICN.2024.0008