Advances in wired and wireless technology have necessitated the development of theory,
models, and tools to cope with the new challenges posed by large-scale control and …

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 …

In this letter, we study distributed optimization, where a network of agents, abstracted as a
directed graph, collaborates to minimize the average of locally known convex functions …

In this article, we focus on solving a distributed convex optimization problem in a network,
where each agent has its own convex cost function and the goal is to minimize the sum of …

The goal of decentralized optimization over a network is to optimize a global objective
formed by a sum of local (possibly nonsmooth) convex functions using only local …

Numerous control and decision problems in networked systems can be posed as
optimization problems. Examples include the framework of network utility maximization for …

Decentralized optimization to minimize a finite sum of functions, distributed over a network of
nodes, has been a significant area within control and signal-processing research due to its …

In this paper, we discuss a class of distributed constrained optimization problems in power
systems where the target is to optimize the sum of all agents' local convex objective …

In this paper, we consider a general challenging distributed optimization setup arising in
several important network control applications. Agents of a network want to minimize the …

Recent advances in wired and wireless technology lead to the emergence of large-scale
networks such as Internet, wireless mobile ad-hoc networks, swarm robotics, smart-grid, and …