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 …

Distributed aggregative optimization is a recently emerged framework in which the agents of
a network want to minimize the sum of local objective functions, each one depending on the …

In this letter we address nonconvex distributed consensus optimization, a popular framework
for distributed big-data analytics and learning. We consider the Gradient Tracking algorithm …

This study presents a cooperative car‐sharing system in which various service providers
jointly operate a sharing service. A distributed algorithm is proposed for rebalancing control …

In this paper, we propose a novel distributed algorithm for consensus optimization over
networks. The key idea is to achieve dynamic consensus on the agents' average and on the …

In this paper, we propose (i) a novel distributed algorithm for consensus optimization over
networks and (ii) a robust extension tailored to deal with asynchronous agents and packet …

This article studies a decentralized online optimization problem with a common constraint
set over time-varying and directed networks. Nodes in the network undertake local …

This paper investigates the distributed consensus optimization over a class of nabla
fractional multi-agent systems (nFMASs). The proposed approach, built upon conventional …

Sparse convex optimization involves optimization problems where the decision variables
are constrained to have a certain number of entries equal to zero. In this paper, we consider …

This paper introduces a novel distributed optimization technique for networked systems,
which removes the dependency on specific parameter choices, notably the learning rate …