Distributed Optimisation and Learning - A Control-Theoretic Perspective

Distributed Optimisation and Learning: A Control-Theoretic Perspective illustrates the underlying principles of distributed optimization and learning. This 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. It is observed that there are strong links between optimization and learning, and this book intends provides a unified platform for understanding and applicability of distributed optimization and learning algorithms for different purposes.

General

Imprint:	Academic Press Inc
Country of origin:	United States
Release date:	June 2024
First published:	2024
Authors:	Zhongguo Li • Zhengtao Ding
Dimensions:	229 x 151mm (L x W)
Pages:	350
ISBN-13:	978-0-443-21636-7
Categories:	Books Promotions
LSN:	0-443-21636-3
Barcode:	9780443216367

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