In recent years, we have observed a significant trend towards filling the gap between social
network analysis and control. This trend was enabled by the introduction of new …

Recent years have witnessed a significant trend towards filling the gap between Social
Network Analysis (SNA) and control theory. This trend was enabled by the introduction of …

We study nonconvex distributed optimization in multiagent networks with time-varying
(nonsymmetric) connectivity. We introduce the first algorithmic framework for the distributed …

This work deals with the topic of information processing over graphs. The presentation is
largely self-contained and covers results that relate to the analysis and design of multi-agent …

We consider distributed optimization by a collection of nodes, each having access to its own
convex function, whose collective goal is to minimize the sum of the functions. The …

Most of the distributed protocols for multi-agent consensus assume that the agents are
mutually cooperative and “trustful,” and so the couplings among the agents bring the values …

We study a distributed computation model for optimizing a sum of convex objective functions
corresponding to multiple agents. For solving this (not necessarily smooth) optimization …

We review the observations and the basic laws describing the essential aspects of collective
motion—being one of the most common and spectacular manifestation of coordinated …

We review a general class of models for self-organized dynamics based on alignment. The
dynamics of such systems is governed solely by interactions among individuals or “agents,” …

We consider the problem of distributed estimation, where a set of nodes is required to
collectively estimate some parameter of interest from noisy measurements. The problem is …