Fast Convergence Rates of Distributed Subgradient Methods With Adaptive Quantization

We study distributed optimization problems over a network when the communication between the nodes is constrained, and therefore, information that is exchanged between the nodes must be quantized. Recent advances using the distributed gradient algorithm with a quantization scheme at a fixed resoluti...

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Vydané v:	IEEE transactions on automatic control Ročník 66; číslo 5; s. 2191 - 2205
Hlavní autori:	Doan, Thinh T., Maguluri, Siva Theja, Romberg, Justin
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York IEEE 01.05.2021 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	Algorithms Bandwidth Communication Convergence Convex functions distributed consensus Distributed optimization distributed stochastic approximation Linear programming Measurement Network topologies Network topology Nodes Optimization Quantization (signal) quantized communication
ISSN:	0018-9286, 1558-2523
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