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Distributed Optimization and Learning: A Control-Theoretic Perspective
Paperback
Technology & EngineeringGeneral Computers
ISBN13: 9780443216367
Publisher: Academic Press
Published: Jul 23 2024
Pages: 286
Weight: 0.85
Height: 0.60 Width: 6.00 Depth: 9.00
Language: English
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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