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 …

We study distributed composite optimization over networks: agents minimize a sum of
smooth (strongly) convex functions–the agents' sum-utility–plus a nonsmooth (extended …

The presence of embedded electronics and communication capabilities as well as sensing
and control in smart devices has given rise to the novel concept of cyber-physical networks …

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

This article aims to address distributed optimization problems over directed and time-varying
networks, where the global objective function consists of a sum of locally accessible convex …

In this paper, we study the problem of finding the least square solutions of over-determined
linear algebraic equations over networks in a distributed manner. Each node has access to …

Distributed primal-dual methods have been widely used for solving large-scale constrained
optimization problems. The majority of existing results focus on the problems with decoupled …

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 …