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LoDAdaC: a unified local training-based decentralized framework with adaptive gradients and compressed communication

Fuente: arXiv

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Détails bibliographiques
Auteurs principaux:	Liu, Wei, Panda, Anweshit, Pandey, Ujwal, Cook, Haven, Slota, George M., Wang, Naigang, Chen, Jie, Xu, Yangyang
Format:	Preprint
Publié:	2026
Sujets:	Machine Learning Distributed, Parallel, and Cluster Computing Optimization and Control
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

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