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

by [Guo, Song, Qu, Zhihao]

$84.42

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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.

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Product Details

  • Cambridge University Pres Brand
  • Apr 21, 2022 Pub Date:
  • 9781108832373 ISBN-13:
  • 1108832377 ISBN-10:
  • 228.0 pages Hardcover
  • English Language
  • 10 in * 0.75 in * 7 in Dimensions:
  • 1 lb Weight: