Edge Learning for Distributed Big Data Analytics: Theory,...

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Edge Learning for Distributed Big Data...

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

Name: Edge Learning for Distributed Big Data Analytics: Theory, Algorithms, and System Design
ISBN: 9781108832373

Song Guo, Zhihao Qu

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Introduces fundamental theory, basic and advanced algorithms, and system design issues. Essential reading for experienced researchers and developers, or for those who are just entering the field.

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.

Kateqoriyalar:

Computers - Databases

İl:

2022

Nəşriyyat:

Cambridge University Press

Dil:

english

Səhifələr:

228

ISBN 10:

1108832377