A survey on distributed online optimization and online games

X Li, L Xie, N Li - Annual Reviews in Control, 2023 - Elsevier
Distributed online optimization and online games have been increasingly researched in the
last decade, mostly motivated by their wide applications in sensor networks, robotics (eg …

Distributed delayed dual averaging for distributed optimization over time-varying digraphs

D Wang, J Liu, J Lian, Y Liu, Z Wang, W Wang - Automatica, 2023 - Elsevier
In this paper, a push-sum based distributed delayed dual averaging algorithm (PS-DDDA) is
proposed to solve the distributed constrained optimization problem over the time-varying …

Distributed strategies for mixed equilibrium problems: Continuous-time theoretical approaches

K Lu, H Wang, Q Zhu - Automatica, 2024 - Elsevier
In this paper, the mixed equilibrium problem is studied by employing a continuous-time multi-
agent system, where the objective of agents is to cooperatively find a point from the feasible …

Online distributed optimization with strongly pseudoconvex-sum cost functions and coupled inequality constraints

K Lu, H Xu - Automatica, 2023 - Elsevier
In this paper, the problem of online distributed optimization with coupled inequality
constraints is studied by employing multi-agent systems. Each agent only has access to the …

Online distributed nonconvex optimization with stochastic objective functions: High probability bound analysis of dynamic regrets

H Xu, K Lu, YL Wang - Automatica, 2024 - Elsevier
In this paper, the problem of online distributed optimization with stochastic and nonconvex
objective functions is studied by employing a multi-agent system. When making decisions …

Distributed constrained online convex optimization with adaptive quantization

X Cao - Automatica, 2024 - Elsevier
In this paper, we study distributed constrained online convex optimization (OCO) problem in
a system consisting of a parameter server and n clients. Each client is associated with a …

A distributed coding-decoding-based Nash equilibrium seeking algorithm over directed communication network

XP Rao, WY Xu, SF Yang, WW Yu - Science China Technological …, 2023 - Springer
This paper is concerned with the distributed Nash equilibrium (NE) computation problem for
non-cooperative games subject to partial-decision information. For the purpose of …

Dynamic regret of distributed online frank-wolfe convex optimization

W Zhang, Y Shi, B Zhang, D Yuan - arXiv preprint arXiv:2302.00663, 2023 - arxiv.org
This paper considers distributed online convex constrained optimization, in which various
agents in a multi-agent system cooperate to minimize a global cost function through …

Byzantine-Resilient Distributed Bandit Online Optimization in Dynamic Environments

M Wei, W Yu, H Liu, D Chen - IEEE Transactions on Industrial …, 2024 - ieeexplore.ieee.org
We consider the constrained multi-agent online optimization problem in dynamic
environments that are vulnerable to Byzantine attacks, where some infiltrated agents may …

Distributed Event-Triggered Bandit Convex Optimization with Time-Varying Constraints

K Zhang, X Yi, G Wen, M Cao, KH Johansson… - arXiv preprint arXiv …, 2024 - arxiv.org
This paper considers the distributed bandit convex optimization problem with time-varying
inequality constraints over a network of agents, where the goal is to minimize network regret …