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Distributed Optimization and Learning|Zhongguo Li

Distributed Optimization and Learning : A Control-Theoretic Perspective

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Overview

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.

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Details

  • ISBN-13: 9780443216367
  • ISBN-10: 0443216363
  • Publisher: Academic Press
  • Publish Date: July 2024
  • Dimensions: 9 x 6 x 0.6 inches
  • Shipping Weight: 0.85 pounds
  • Page Count: 286

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