A Nesterov-Like Gradient Tracking Algorithm for Distributed Optimization Over Directed Networks

In this article, we concentrate on dealing with the distributed optimization problem over a directed network, where each unit possesses its own convex cost function and the principal target is to minimize a global cost function (formulated by the average of all local cost functions) while obeying th...

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Vydané v:	IEEE transactions on systems, man, and cybernetics. Systems Ročník 51; číslo 10; s. 6258 - 6270
Hlavní autori:	Lu, Qingguo, Liao, Xiaofeng, Li, Huaqing, Huang, Tingwen
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York IEEE 01.10.2021 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	Acceleration Algorithms Convergence Convex functions Cost function Delays Directed network distributed convex optimization gradient tracking Information processing linear convergence Mathematical analysis Momentum Nesterov-like algorithm Networks Optimization Tracking
ISSN:	2168-2216, 2168-2232
On-line prístup:	Získať plný text
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