We consider a decentralized online convex optimization problem in a network of agents,
where each agent controls only a coordinate (or a part) of the global decision vector. For …

We consider a decentralized online convex optimization problem in a static undirected
network of agents, where each agent controls only a coordinate (or a part) of the global …

We consider a decentralized online convex optimization problem in a network of agents,
where each agent controls only a coordinate (or a part) of the global decision vector. For …

In online decision making, feedback delays often arise due to the latency caused by
computation and communication in practical systems. In this article, we study decentralized …

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 …

This paper introduces consensus-based primal-dual methods for distributed online
optimization where the time-varying system objective function $ f_t (\mathbf {x}) $ is given as …

This paper introduces a class of discrete-time distributed online optimization algorithms, with
a group of agents whose communication topology is given by a uniformly strongly connected …

This paper introduces a decentralized primal-dual method for online distributed optimization
involving global constraints. We employ a consensus-based framework and exploit the …

This article investigates distributed online convex optimization in the presence of an
aggregative variable without any global/central coordinators over a multiagent network. In …

This paper considers networked online convex optimization scenarios from a regret analysis
perspective. At each round, each agent in the network commits to a decision and incurs in a …