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Approximate Gradient Coding for Privacy-Flexible Federated Learning with Non-IID Data

Fuente: arXiv

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Détails bibliographiques
Auteurs principaux:	Makkonen, Okko, Niemelä, Sampo, Hollanti, Camilla, Hanna, Serge Kas
Format:	Preprint
Publié:	2024
Sujets:	Machine Learning Cryptography and Security Distributed, Parallel, and Cluster Computing Information Theory
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

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