OmniFed: A Modular Framework for Configurable Federated Learning from Edge to HPC

Fuente: arXiv

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Bibliographic Details
Main Authors:	Tyagi, Sahil, Cozma, Andrei, Kotevska, Olivera, Wang, Feiyi
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Artificial Intelligence Cryptography and Security Distributed, Parallel, and Cluster Computing
Online Access:	Acceder al recurso
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Internet

https://arxiv.org/abs/2509.19396