<p><span>This book focuses on improving the performance (convergence rate, communication efficiency, computational efficiency, etc.) of algorithms in the context of distributed optimization in networked systems and their successful application to real-world applications (smart grids and online learn
Distributed Optimization in Networked Systems: Algorithms and Applications
β Scribed by Qingguo LΓΌ; Xiaofeng Liao; Huaqing Li; Shaojiang Deng; Shanfu Gao
- Publisher
- Springer Nature
- Year
- 2023
- Tongue
- English
- Leaves
- 282
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Synopsis
This book focuses on improving the performance (convergence rate, communication efficiency, computational efficiency, etc.) of algorithms in the context of distributed optimization in networked systems and their successful application to real-world applications (smart grids and online learning). Readers may be particularly interested in the sections on consensus protocols, optimization skills, accelerated mechanisms, event-triggered strategies, variance-reduction communication techniques, etc., in connection with distributed optimization in various networked systems. This book offers a valuable reference guide for researchers in distributed optimization and for senior undergraduate and graduate students alike.
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