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...

Celý popis

Podrobná bibliografia

Vydané v:	IEEE transactions on signal processing Ročník 72; s. 2594 - 2606
Hlavní autori:	Zhou, Yaoyao, Chen, Gang
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York IEEE 2024 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	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
On-line prístup:	Získať plný text
Tagy:	Pridať tag Žiadne tagy, Buďte prvý, kto otaguje tento záznam!