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

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Song Guo (The Hong Kong Polytechnic University) Zhihao Qu (The Hong Kong Polytechnic University)

Edge Learning for Distributed Big Data Analytics

Theory, Algorithms, and System Design

Song Guo (The Hong Kong Polytechnic University), Zhihao Qu (The Hong Kong Polytechnic University)

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English

Cambridge University Press
10 February 2022

Data analysis: general; Computer networking & communications; Machine learning

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.

By: Song Guo (The Hong Kong Polytechnic University), Zhihao Qu (The Hong Kong Polytechnic University)
Imprint: Cambridge University Press
Country of Publication: United Kingdom
Edition: New edition
Dimensions: Height: 251mm, Width: 176mm, Spine: 17mm
Weight: 540g
ISBN: 9781108832373
ISBN 10: 1108832377
Pages: 228
Publication Date: 10 February 2022
Audience: Professional and scholarly , Undergraduate
Format: Hardback
Publisher's Status: Active

Song Guo is a Full Professor in the Department of Computing at The Hong Kong Polytechnic University. He is an IEEE Fellow and the Editor-in-Chief of the IEEE Open Journal of the Computer Society. He was a member of the IEEE ComSoc Board of Governors and a Distinguished Lecturer of the IEEE Communications Society. Zhihao Qu is an assistant researcher in the School of Computer and Information at Hohai University and in the Department of Computing at The Hong Kong Polytechnic University.