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Optimization Algorithms for Distributed Machine Learning
Engelsk
Bogcover for Optimization Algorithms for Distributed Machine Learning af Gauri Joshi, 9783031190667
Specifikationer
Sprog:
Engelsk
Sider:
127
ISBN-13:
9783031190667
Indbinding:
Hardback
ISBN-10:
3031190661
Kategori:
Udg. Dato:
26 nov 2022
Størrelse i cm:
24,0 x 16,8
Oplagsdato:
26 nov 2022
Forfatter(e):

Optimization Algorithms for Distributed Machine Learning

Engelsk
Hardback 2022
Format:

Bog beskrivelse
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.
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Specifikationer
Sprog:
Engelsk
Sider:
127
ISBN-13:
9783031190667
Indbinding:
Hardback
ISBN-10:
3031190661
Kategori:
Udg. Dato:
26 nov 2022
Størrelse i cm:
24,0 x 16,8
Oplagsdato:
26 nov 2022
Forfatter(e):
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