Edge Learning for Distributed Big Data Analytics: Theory, Algorithms, and System Design (Hardcover)

Edge Learning for Distributed Big Data Analytics: Theory, Algorithms, and System Design By Song Guo, Zhihao Qu Cover Image
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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.
Product Details
ISBN: 9781108832373
ISBN-10: 1108832377
Publisher: Cambridge University Press
Publication Date: April 21st, 2022
Pages: 228
Language: English