This article provides an introduction to event-triggered coordination for multi-agent average
consensus. We provide a comprehensive account of the motivations behind the use of event …

This paper considers the problem of distributed optimization over time-varying graphs. For
the case of undirected graphs, we introduce a distributed algorithm, referred to as DIGing …

Technological advances in ad hoc networking and the availability of low-cost reliable
computing, data storage, and sensing devices have made scenarios possible where the …

This article provides an overview of distributed gradient methods for solving convex machine
learning problems of the form minxRn (1/m) ΣR i= 1 fi (x) in a system consisting of mm …

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 …

This paper is concerned with developing a distributed k-means algorithm and a distributed
fuzzy c-means algorithm for wireless sensor networks (WSNs) where each node is equipped …

This paper proposes a novel distributed event-triggered algorithmic solution to the multi-
agent average consensus problem for networks whose communication topology is …

In this paper, we consider distributed optimization problems where the goal is to minimize a
sum of objective functions over a multiagent network. We focus on the case when the …

In this paper, a distributed resource allocation problem with nonsmooth local cost functions
is considered, where the interaction among agents is depicted by strongly connected and …

We study the average consensus problem of multi-agent systems for general network
topologies with unidirectional information flow. We propose two linear distributed algorithms …