Distributed machine learning and gradient optimization/ Jiawei Jiang, Bin Cui, Ce Zhang.
Jiang, Jiawei, author.; Cui, Bin, author.; Zhang, Ce, author.
2022
Q325.5
Available Online

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Title Distributed machine learning and gradient optimization/ Jiawei Jiang, Bin Cui, Ce Zhang.
Author Jiang, Jiawei, author.
ISBN 9789811634208 (electronic bk.)
9811634203 (electronic bk.)
981163419X
9789811634192
DOI https://doi.org/10.1007/978-981-16-3420-8
Imprint Singapore : Springer, 2022.
Language English
Description 1 online resource
Other Standard Identifiers 10.1007/978-981-16-3420-8 doi
Call Number Q325.5
Dewey Decimal Classification 006.3/1
Summary This book presents the state of the art in distributed machine learning algorithms that are based on gradient optimization methods. In the big data era, large-scale datasets pose enormous challenges for the existing machine learning systems. As such, implementing machine learning algorithms in a distributed environment has become a key technology, and recent research has shown gradient-based iterative optimization to be an effective solution. Focusing on methods that can speed up large-scale gradient optimization through both algorithm optimizations and careful system implementations, the book introduces three essential techniques in designing a gradient optimization algorithm to train a distributed machine learning model: parallel strategy, data compression and synchronization protocol. Written in a tutorial style, it covers a range of topics, from fundamental knowledge to a number of carefully designed algorithms and systems of distributed machine learning. It will appeal to a broad audience in the field of machine learning, artificial intelligence, big data and database management.
Bibliography, etc. Note Includes bibliographical references.
Access Note Access limited to authorized users.
Added Author Cui, Bin, author.
Zhang, Ce, author.
Series Big data management.
Available in Other Form Print version: 9789811634192
Linked Resources Online Access
Record Appears in Online Resources > Ebooks
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1 Introduction
2 Basics of Distributed Machine Learning
3 Distributed Gradient Optimization Algorithms
4 Distributed Machine Learning Systems
5 Conclusion. .

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