In distributed optimization of multi-agent systems, agents cooperate to minimize a global
function which is a sum of local objective functions. Motivated by applications including …

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 paper considers distributed online optimization with time-varying coupled inequality
constraints. The global objective function is composed of local convex cost and …

With the development of big data and artificial intelligence, distributed optimization has
emerged as an indispensable tool for solving large-scale problems. In particular, the multi …

Distributed bandit online convex optimization with time-varying coupled inequality
constraints is considered, motivated by a repeated game between a group of learners and …

In this article, we investigate a distributed online constrained optimization problem with
differential privacy where the network is modeled by an unbalanced digraph with a row …

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 article proposes a new framework for distributed optimization, called distributed
aggregative optimization, which allows local objective functions to be dependent not only on …

This article investigates the problem of distributed online optimization for a group of units
communicating on time-varying unbalanced directed networks. The main target of the set of …

This article focuses on an online version of the emerging distributed constrained
aggregative optimization framework, which is particularly suited for applications arising in …