This book provides the fundamental theory of distributed optimization, game and learning. It includes those working directly in optimization,-and also many othe

This book presents new efficient methods for optimization in realistic large-scale, multi-agent systems. These methods do not require the agents to have the ful

This book nds its origin in the WIDE PhD School on Networked Control Systems, which we organized in July 2009 in Siena, Italy. Having gathered experts on all th

Distributed Optimization and Learning: A Control-Theoretic Perspective illustrates the underlying principles of distributed optimization and learning. The book

This book offers a valuable reference guide for researchers in distributed optimization and for senior undergraduate and graduate students alike. Focusing on th