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guo s edge learning distributed big data analytics 2022

Type:: E-books
Files:: 1
Size:: 9.4 MB
Uploaded On:: Jan. 24, 2022, 10:08 a.m.
Added By:: andryold1
Seeders:: 1
Leechers:: 0
Info Hash:: EDB632A1F943C27C8FD6A58222E205BB9D9F6CA0

Textbook in PDF format 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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Guo S. Edge Learning for Distributed Big Data Analytics...2022.pdf 9.4 MB

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guo s edge learning distributed big data analytics 2022

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