Distributed Constrained Online Convex Optimization Over Multiple Access Fading Channels

• Published in: IEEE transactions on signal processing Vol. 70; pp. 3468 - 3483
• Main Authors: Cao, Xuanyu, Basar, Tamer
• Format: Journal Article
• Language: English
• Published: New York IEEE 2022; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Algorithms; channel fading; channel noise; Channels; Computational geometry; constrained optimization; Constraints; Convex analysis; Convexity; Distance learning; distributed optimization; Fading; Fading channels; Multiple access; Noise measurement; Online convex optimization; Optimization; Resource management; Saddle points; Servers; Signal processing algorithms

In this paper, we study distributed constrained online convex optimization for a wireless system consisting of a parameter server and multiple agents. Each agent has a local constraint function and a time-varying local loss function, and needs to choose sequential actions based on causal information...