by Zhongguo Li (Author), Zhengtao Ding (Author)
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.
Year | 2024 |
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Pages | 274 |
Language | English |
Format | |
Size | 8 MB |
ASIN | B0D9Q35SDP |
ISBN-10 | 0443216363, 0443216371 |
ISBN-13 | 9780443216367, 978-0443216367, 978-0-443-21636-7, 9780443216374, 978-0443216374 |