An Exact Quantized Decentralized Gradient Descent Algorithm

We consider the problem of decentralized consensus optimization, where the sum of <inline-formula><tex-math notation="LaTeX">n</tex-math></inline-formula> smooth and strongly convex functions are minimized over <inline-formula><tex-math notation="LaTeX...

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Bibliographic Details
Published in:	IEEE transactions on signal processing Vol. 67; no. 19; pp. 4934 - 4947
Main Authors:	Reisizadeh, Amirhossein, Mokhtari, Aryan, Hassani, Hamed, Pedarsani, Ramtin
Format:	Journal Article
Language:	English
Published:	New York IEEE 01.10.2019 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	Algorithms Communication-efficiency Computer simulation Convergence Convex functions Convexity Counters decentralized optimization gradient methods Linear programming Nickel Nodes Optimization quantization Quantization (signal) Signal processing algorithms Smoothness
ISSN:	1053-587X, 1941-0476
Online Access:	Get full text
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