Synthetic data shuffling accelerates the convergence of federated learning under data heterogeneity

Fuente: arXiv

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Bibliographic Details
Main Authors:	Li, Bo, Esfandiari, Yasin, Schmidt, Mikkel N., Alstrøm, Tommy S., Stich, Sebastian U.
Format:	Preprint
Published:	2023
Subjects:	Machine Learning Computer Vision and Pattern Recognition Distributed, Parallel, and Cluster Computing
Online Access:	Acceder al recurso
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Internet

https://arxiv.org/abs/2306.13263