Song Guo,
Song (The Hong Kong Polytechnic University) Guo,
Zhihao Qu,
Zhihao (The Hong Kong Polytechnic University) Qu
e.a.
Edge Learning for Distributed Big Data Analytics
Theory, Algorithms, and System Design
Gebonden Engels 2022 9781108832373Levertijd ongeveer 9 werkdagen
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Samenvatting
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.
Specificaties
ISBN13:9781108832373
Taal:Engels
Bindwijze:Gebonden
Aantal pagina's:228
Uitgever:Cambridge University Press
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Inhoudsopgave
1. Introduction; 2. Preliminary; 3. Fundamental Theory and Algorithms of Edge Learning; 4. Communication-Efficient Edge Learning; 5. Computation Acceleration; 6. Efficient Training with Heterogeneous Data Distribution; 7. Security and Privacy Issues in Edge Learning Systems; 8. Edge Learning Architecture Design for System Scalability; 9. Incentive Mechanisms in Edge Learning Systems; 10. Edge Learning Applications.
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