Q-GADMM: Quantized Group ADMM for communication efficient decentralized machine learning

Elgabli, Anis, Park, Jihong, Bedi, Amrit Singh, Issaid, Chaouki Ben, Bennis, Mehdi and Aggarwal, Vaneet 2021, Q-GADMM: Quantized Group ADMM for communication efficient decentralized machine learning, IEEE transactions on communications, vol. 69, no. 1, pp. 164-181, doi: 10.1109/TCOMM.2020.3026398.

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Title Q-GADMM: Quantized Group ADMM for communication efficient decentralized machine learning
Author(s) Elgabli, Anis
Park, JihongORCID iD for Park, Jihong orcid.org/0000-0001-7623-6552
Bedi, Amrit Singh
Issaid, Chaouki Ben
Bennis, Mehdi
Aggarwal, Vaneet
Journal name IEEE transactions on communications
Volume number 69
Issue number 1
Start page 164
End page 181
Total pages 18
Publisher Institute of Electrical and Electronics Engineers
Place of publication Piscataway, N.J.
Publication date 2021-01
ISSN 0090-6778
1558-0857
Keyword(s) Communication-efficient decentralized machine learning
GADMM
ADMM
stochastic quantization
Language eng
DOI 10.1109/TCOMM.2020.3026398
Indigenous content off
Field of Research 0804 Data Format
0906 Electrical and Electronic Engineering
1005 Communications Technologies
HERDC Research category C1 Refereed article in a scholarly journal
Persistent URL http://hdl.handle.net/10536/DRO/DU:30147771

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