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

Version 2 2024-06-06, 01:48
Version 1 2021-02-02, 08:12
journal contribution
posted on 2024-06-06, 01:48 authored by A Elgabli, Jihong ParkJihong Park, AS Bedi, CB Issaid, M Bennis, V Aggarwal
Q-GADMM: Quantized Group ADMM for Communication Efficient Decentralized Machine Learning

History

Journal

IEEE Transactions on Communications

Volume

69

Pagination

164-181

Location

Piscataway, N.J.

Publisher DOI

ISSN

0090-6778

eISSN

1558-0857

Language

English

Publication classification

C1 Refereed article in a scholarly journal

Issue

1

Publisher

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC

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    Research Publications

    Categories

    Keywords

    Science & TechnologyTechnologyEngineering, Electrical & ElectronicTelecommunicationsEngineeringCommunication-efficient decentralized machine learningGADMMADMMstochastic quantizationDISTRIBUTED OPTIMIZATIONCONSENSUSALGORITHM4006 Communications engineering4611 Machine learning

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    All Rights Reserved

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