Event-Triggered Proximal Online Gradient Descent Algorithm for Parameter Estimation

The constrained composite-convex parameter estimation problem on the networked system, where the composite-convex function consists of a sum of node-specific smooth loss functions and a nonsmooth regularizer, is investigated in this paper. To reduce the communication burden, the event-triggered mech...

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Veröffentlicht in:	IEEE transactions on signal processing Jg. 72; S. 2594 - 2606
Hauptverfasser:	Zhou, Yaoyao, Chen, Gang
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York IEEE 2024 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Algorithms Convex functions Distributed parameter estimation dynamic regret Dynamic scheduling Estimation event-triggered mechanism Heuristic algorithms online convex optimization Parameter estimation Performance degradation proximal algorithm Sensors Signal processing algorithms
ISSN:	1053-587X, 1941-0476
Online-Zugang:	Volltext
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