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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Veröffentlicht in:	IEEE transactions on systems, man, and cybernetics. Systems Jg. 51; H. 10; S. 6258 - 6270
Hauptverfasser:	Lu, Qingguo, Liao, Xiaofeng, Li, Huaqing, Huang, Tingwen
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York IEEE 01.10.2021 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	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
Online-Zugang:	Volltext
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