In the realm of next-generation mobile communication networks, characterized by dynamic
and evolving workloads, the efficient resource allocation becomes paramount for achieving …

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

In this paper, a randomized parallel algorithm is proposed to solve the distributed optimal
consensus problem of multi-agent systems. Involving both the transient response and the …

Several interesting problems in multi-robot systems can be cast in the framework of
distributed optimization. Examples include multi-robot task allocation, vehicle routing, target …

This paper considers the distributed strategy design for Nash equilibrium (NE) seeking in
multi-cluster games under a partial-decision information scenario. In the considered game …

We propose fully-distributed algorithms for Nash equilibrium seeking in aggregative games
over networks. We first consider the case where local constraints are present and we design …

One key factor affecting the distributed Nash equilibrium (NE) seeking in aggregative games
is the unbalanced communication structure for multiple players. Although some results on …

This paper addresses the distributed optimization problems of multi-agent systems using a
distributed hybrid impulsive protocol. The objective is to ensure the agents achieve the state …

In this paper, we focus on solving a distributed convex aggregative optimization problem in a
network, where each agent has its own cost function which depends not only on its own …