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Distributed Optimization and Learning

A Control-Theoretic Perspective

  • 1st Edition - July 23, 2024
  • Latest edition
  • Authors: Zhongguo Li, Zhengtao Ding
  • Language: English
  • Paperback ISBN:
    9 7 8 - 0 - 4 4 3 - 2 1 6 3 6 - 7
  • eBook ISBN:
    9 7 8 - 0 - 4 4 3 - 2 1 6 3 7 - 4

Distributed Optimization and Learning: A Control-Theoretic Perspective illustrates the underlying principles of distributed optimization and learning. The book presents a systemati… Read more

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Elsevier academics book covers

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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