Title
Decentralized Optimization Over Noisy, Rate-Constrained Networks: Achieving Consensus by Communicating Differences
Abstract
In decentralized optimization, multiple nodes in a network collaborate to minimize the sum of their local loss functions. The information exchange between nodes required for this task, is often limited by network connectivity. We consider a setting in which communication between nodes is hindered by both (i) a finite rate-constraint on the signal transmitted by any node, and (ii) additive noise co...
Year
DOI
Venue
2022
10.1109/JSAC.2021.3118428
IEEE Journal on Selected Areas in Communications
Keywords
DocType
Volume
Optimization,Convergence,Quantization (signal),Heuristic algorithms,Wireless communication,Noise measurement,Mirrors
Journal
40
Issue
ISSN
Citations 
2
0733-8716
0
PageRank 
References 
Authors
0.34
0
4
Name
Order
Citations
PageRank
Rajarshi Saha101.01
Stefano Rini200.68
Milind Rao300.34
Andrea J. Goldsmith410.68