Advances in APPFL: A Comprehensive and Extensible Federated Learning Framework

Fuente: arXiv

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Bibliographic Details
Main Authors:	Li, Zilinghan, He, Shilan, Yang, Ze, Ryu, Minseok, Kim, Kibaek, Madduri, Ravi
Format:	Preprint
Published:	2024
Subjects:	Machine Learning Cryptography and Security Distributed, Parallel, and Cluster Computing
Online Access:	Acceder al recurso
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Internet

https://arxiv.org/abs/2409.11585