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Q-GADMM: Quantized Group ADMM for Communication Efficient Decentralized Machine Learning

Fuente: arXiv

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Bibliographic Details
Main Authors:	Elgabli, Anis, Park, Jihong, Bedi, Amrit S., Issaid, Chaouki Ben, Bennis, Mehdi, Aggarwal, Vaneet
Format:	Preprint
Published:	2019
Subjects:	Machine Learning Distributed, Parallel, and Cluster Computing Information Theory Networking and Internet Architecture
Online Access:	Acceder al recurso
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