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books
| book details |
Edge Learning for Distributed Big Data Analytics: Theory, Algorithms, and System Design
By (author) Song Guo, By (author) Zhihao Qu
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This book is currently unavailable. Enquire to check if we can source a used copy
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| book description |
Discover this multi-disciplinary and insightful work, which integrates machine learning, edge computing, and big data. Presents the basics of training machine learning models, key challenges and issues, as well as comprehensive techniques including edge learning algorithms, and system design issues. Describes architectures, frameworks, and key technologies for learning performance, security, and privacy, as well as incentive issues in training/inference at the network edge. Intended to stimulate fruitful discussions, inspire further research ideas, and inform readers from both academia and industry backgrounds. Essential reading for experienced researchers and developers, or for those who are just entering the field.
| product details |
Normally shipped |
Publisher | Cambridge University Press (Virtual Publishing)
Published date | 9 Mar 2022
Language |
Format | Digital download and online
Pages | 0
Dimensions | 0 x 0 x 0mm (L x W x H)
Weight | 0g
ISBN | 978-1-1089-6254-4
Readership Age |
BISAC | computers / database management / general
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