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ProFe: Communication-Efficient Decentralized Federated Learning via Distillation and Prototypes

Fuente: arXiv

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Détails bibliographiques
Auteurs principaux:	Sánchez, Pedro Miguel Sánchez, Beltrán, Enrique Tomás Martínez, Llamas, Miguel Fernández, Bovet, Gérôme, Pérez, Gregorio Martínez, Celdrán, Alberto Huertas
Format:	Preprint
Publié:	2024
Sujets:	Machine Learning Artificial Intelligence Distributed, Parallel, and Cluster Computing Networking and Internet Architecture
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

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