Edge Learning for Distributed Big Data Analytics

Theory, Algorithms, and System Design

Edge Learning for Distributed Big Data Analytics
Song Guo, Zhihao Qu
RRP:
NZ$ 123.95
Our Price:
NZ$ 111.55
Hardback
h251 x 176mm - 228pg
10 Feb 2022 UK
International import eta 7-19 days
9781108832373
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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.
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.
Status: Active
ISBN-13: 9781108832373
Published: 10 Feb 2022
Published In: United Kingdom
Imprint: Cambridge University Press
Publisher: Cambridge University Press
Format: Hardback
Height: 251mm
Width: 176mm
Spine: 17mm
Weight: 540g
Pages: 228

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