Can We Theoretically Quantify the Impacts of Local Updates on the Generalization Performance of Federated Learning?

Fuente: arXiv

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Bibliographic Details
Main Authors:	Ju, Peizhong, Yang, Haibo, Liu, Jia, Liang, Yingbin, Shroff, Ness
Format:	Preprint
Published:	2024
Subjects:	Machine Learning
Online Access:	Acceder al recurso
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Internet

https://arxiv.org/abs/2409.03863