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Optimization Algorithms for Distributed Machine Learning (Synthesis Lectures on Learning, Networks, and Algorithms) - Hardcover
- PublisherSpringer
- Publication date2022
- ISBN 10 3031190661
- ISBN 13 9783031190667
- BindingHardcover
- LanguageEnglish
- Edition number1
- Number of pages140
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Optimization Algorithms for Distributed Machine Learning
Published by
Springer International Publishing, Springer Nature Switzerland Nov 2022, 2022
ISBN 10: 3031190661
ISBN 13: 9783031190667
New
Hardcover
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
Buch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book discusses state-of-the-art stochastic optimization algorithms for distributed machine learning and analyzes their convergence speed. The book first introduces stochastic gradient descent (SGD) and its distributed version, synchronous SGD, where the task of computing gradients is divided across several worker nodes. The author discusses several algorithms that improve the scalability and communication efficiency of synchronous SGD, such as asynchronous SGD, local-update SGD, quantized and sparsified SGD, and decentralized SGD. For each of these algorithms, the book analyzes its error versus iterations convergence, and the runtime spent per iteration. The author shows that each of these strategies to reduce communication or synchronization delays encounters a fundamental trade-off between error and runtime. 144 pp. Englisch. Seller Inventory # 9783031190667
Quantity: 2 available
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Optimization Algorithms for Distributed Machine Learning (Synthesis Lectures on Learning, Networks, and Algorithms)
Seller: Books Puddle, New York, NY, U.S.A.
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Condition: New. 1st ed. 2023 edition NO-PA16APR2015-KAP. Seller Inventory # 26396295639
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Optimization Algorithms for Distributed Machine Learning (Synthesis Lectures on Learning, Networks, and Algorithms)
Print on DemandSeller: Majestic Books, Hounslow, United Kingdom
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Condition: New. Print on Demand This item is printed on demand. Seller Inventory # 401162760
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Optimization Algorithms for Distributed Machine Learning
Published by
Springer International Publishing, Springer Nature Switzerland, 2022
ISBN 10: 3031190661
ISBN 13: 9783031190667
New
Hardcover
Seller: AHA-BUCH GmbH, Einbeck, Germany
Seller rating 5 out of 5 stars
Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book discusses state-of-the-art stochastic optimization algorithms for distributed machine learning and analyzes their convergence speed. The book first introduces stochastic gradient descent (SGD) and its distributed version, synchronous SGD, where the task of computing gradients is divided across several worker nodes. The author discusses several algorithms that improve the scalability and communication efficiency of synchronous SGD, such as asynchronous SGD, local-update SGD, quantized and sparsified SGD, and decentralized SGD. For each of these algorithms, the book analyzes its error versus iterations convergence, and the runtime spent per iteration. The author shows that each of these strategies to reduce communication or synchronization delays encounters a fundamental trade-off between error and runtime. Seller Inventory # 9783031190667
Quantity: 1 available
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Optimization Algorithms for Distributed Machine Learning (Synthesis Lectures on Learning, Networks, and Algorithms)
Print on DemandSeller: Biblios, Frankfurt am main, HESSE, Germany
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Optimization Algorithms for Large-scale Machine Learning
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Springer, Berlin|Springer International Publishing|Springer, 2023
ISBN 10: 3031190661
ISBN 13: 9783031190667
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Hardcover
Seller: moluna, Greven, Germany
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This book discusses state-of-the-art stochastic optimization algorithms for distributed machine learning and analyzes their convergence speed. The book first introduces stochastic gradient descent (SGD) and its distributed version, synchronous SGD, where th. Seller Inventory # 706732221
Quantity: Over 20 available