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books
| book details |
Decentralized Optimization in Networks: Algorithmic Efficiency and Privacy Preservation
By (author) Qingguo Lü,, By (author) Xiaofeng Liao, By (author) Huaqing Li, By (author) Shaojiang Deng, By (author) Yantao Li, By (author) Keke Zhang
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| on special |
normal price: R 4 959.95
Price: R 4 463.95
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| book description |
Decentralized Optimization in Networks: Algorithmic Efficiency and Privacy Preservation provides the reader with theoretical foundations, practical guidance, and solutions to decentralized optimization problems. The book demonstrates the application of decentralized optimization algorithms to enhance communication and computational efficiency, solve large-scale datasets, maintain privacy preservation, and address challenges in complex decentralized networks. The book covers key topics such as event-triggered communication, random link failures, zeroth-order gradients, variance-reduction, Polyak’s projection, stochastic gradient, random sleep, and differential privacy. It also includes simulations and practical examples to illustrate the algorithms' effectiveness and applicability in real-world scenarios.
| product details |
Normally shipped |
Publisher | Elsevier Science & Technology
Published date | 13 Aug 2025
Language |
Format | Paperback / softback
Pages | 276
Dimensions | 235 x 191 x 0mm (L x W x H)
Weight | 450g
ISBN | 978-0-4433-3337-8
Readership Age |
BISAC | computers / networking / general
| other options |
Normally shipped |
Readership Age |
Normal Price | R 6 408.95
Price | R 5 768.95
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Paperback / softback
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