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LoCoDL: Communication-Efficient Distributed Learning with Local Training and Compression

Fuente: arXiv

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Dettagli Bibliografici
Autori principali:	Condat, Laurent, Maranjyan, Artavazd, Richtárik, Peter
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Optimization and Control Distributed, Parallel, and Cluster Computing Machine Learning
Accesso online:	Acceder al recurso
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