FedRFQ: Prototype-Based Federated Learning with Reduced Redundancy, Minimal Failure, and Enhanced Quality

Fuente: arXiv

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Bibliographic Details
Main Authors:	Yan, Biwei, Zhang, Hongliang, Xu, Minghui, Yu, Dongxiao, Cheng, Xiuzhen
Format:	Preprint
Published:	2024
Subjects:	Distributed, Parallel, and Cluster Computing Machine Learning
Online Access:	Acceder al recurso
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Internet

https://arxiv.org/abs/2401.07558