Constrained distributed online convex optimization with bandit feedback for unbalanced digraphs

Abstract In this study, a distributed primal‐dual bandit feedback method for online convex optimization with time‐varying coupled inequality constraints on unbalanced directed graphs is proposed. A multiagent network is considered in which agents exchange the estimations of the dual optimizer and th...

Full description

Bibliographic Details
Main Authors: Keishin Tada, Naoki Hayashi, Shigemasa Takai
Format: Article
Language:English
Published: Wiley 2024-01-01
Series:IET Control Theory & Applications
Subjects:
Online Access:https://doi.org/10.1049/cth2.12548