Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Edge Learning for Distributed Big Data Analytics: Theory, Algorithms, and System Design

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

Guo, Song
Qu, Zhihao

Hardcover

Technology & EngineeringDatabases

ISBN10: 1108832377
ISBN13: 9781108832373
Publisher: Cambridge University Press
Published: Feb 10 2022
Pages: 228
Weight: 1.10
Height: 0.64 Width: 6.90 Depth: 9.90
Language: English
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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