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Edge Learning for Distributed Big Data Analytics: Theory, Algorithms, and System Design
by Edge Learning for Distributed Big Data Analytics: Theory, Algorithms, and System Design
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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.
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Product Details
- Cambridge University Pres Brand
- Feb 10, 2022 Pub Date:
- 1108832377 ISBN-10:
- 9781108832373 ISBN-13:
- English Language
- 228.0 pages Hardcover
- 10 in * 0.75 in * 7 in Dimensions:
- 1 lb Weight:
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