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

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

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 offers a concise and in-depth exposition of specific algorithmic solutions for distributed optimization based control of multi-agent networks and thei

This book focuses on improving the performance (convergence rate, communication efficiency, computational efficiency, etc.) of algorithms in the context of dist