Federated Learning: Principles, Paradigms, and Applications (Hardcover)
 
作者: Jayakrushna Sahoo, Mariya Ouaissa, Akarsh K. Nair 
分類: Electrical engineering ,
Automatic control engineering ,
Environmental science, engineering & technology ,
Databases ,
Computer architecture & logic design  
書城編號: 28016635


售價: $2100.00

購買後立即進貨, 約需 18-25 天

 
 
出版社: Apple Academic Press Inc.
出版日期: 2024/10/15 (快將出版)
頁數: 321
尺寸: 234 x 156 mm
ISBN: 9781774916384

商品簡介
Explains federated learning and how it integrates AI technologies allowing multiple collaborators to build a robust machine-learning model using a large dataset. Describes benefits of federated learning, covering data privacy, data security, data access rights etc. Analyses common challenges, and attack strategies affecting FL systems.

Mariya Ouaissa 作者作品表

Big Data Analytics and Computational Intelligence for Cybersecurity (2022) (Paperback)

Computational Intelligence for Unmanned Aerial Vehicles Communication Networks (2022) (Paperback)

Computational Intelligence in Recent Communication Networks (2022) (Paperback)

Big Data Analytics and Computational Intelligence for Cybersecurity (2022) (Hardcover)

eBook: Machine Intelligence for Internet of Medical Things: Applications and Future Trends (DRM EPUB)

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