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 …

This article investigates the distributed online optimization problem over a multi-agent
network subject to local set constraints and coupled inequality constraints, which has a lot of …

In this article, the problem of online distributed optimization subject to a convex set is studied
by employing a network of agents, where the objective functions allocated to agents are …

Simultaneously Achieving Sublinear Regret and Constraint Violations for Online Convex
Optimization with Time-varying Constraints Page 1 Simultaneously Achieving Sublinear Regret …

This article considers the distributed online convex optimization problem with time-varying
constraints over a network of agents. This is a sequential decision making problem with two …

We extend the regret analysis of the online distributed weighted dual averaging (DWDA)
algorithm from Hosseini et al. to the dynamic setting and provide the tightest dynamic regret …

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 …

Regret has been widely adopted as the metric of choice for evaluating the performance of
online optimization algorithms for distributed, multi-agent systems. However, variations in …

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 …

This article focuses on online kernel learning over a decentralized network. Each agent in
the network receives online streaming data and collaboratively learns a globally optimal …