Distributed Optimization and Learning: A Control-Theoretic Perspective

By Zhengtao Ding and Zhongguo Li

Distributed Optimization and Learning: A Control-Theoretic Perspective illustrates the underlying principles of distributed optimization and learning. The book presents a systematic and self-contained description of distributed optimization and learning algorithms from a control-theoretic perspective. It focuses on exploring control-theoretic approaches and how those approaches can be utilized to solve distributed optimization and learning problems over network-connected, multi-agent systems. As there are strong links between optimization and learning, this book provides a unified platform for understanding distributed optimization and learning algorithms for different purposes.

• Format: Paperback
• Language: English
• ISBN: 0443216363
• ISBN13: 9780443216367
• Release Date: August 2024
• Publisher: Academic Press
• Length: 286 Pages
• Weight: 0.85 lbs.
• Dimensions: 0.6" x 6.0" x 9.0"