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Titel:Federated learning
Titelzusatz:theory and practice
Mitwirkende:Nguyen, Lam M. [MitwirkendeR]   i
 Hoang, Trong Nghia [MitwirkendeR]   i
 Chen, Pin-Yu [MitwirkendeR]   i
Verf.angabe:edited by Lam M. Nguyen, Trong Nghia Hoang and Pin-Yu Chen
Verlagsort:London
Verlag:Academic Press
Jahr:2024
Umfang:1 online resource
ISBN:978-0-443-19038-4
 0-443-19038-0
Abstract:Federated Learning: Theory and Practi ce provides a holisti c treatment to federated learning as a distributed learning system with various forms of decentralized data and features. Part I of the book begins with a broad overview of opti mizati on fundamentals and modeling challenges, covering various aspects of communicati on effi ciency, theoretical convergence, and security. Part II features emerging challenges stemming from many socially driven concerns of federated learning as a future public machine learning service. Part III concludes the book with a wide array of industrial applicati ons of federated learning, as well as ethical considerations, showcasing its immense potential for driving innovation while safeguarding sensitive data. Federated Learning: Theory and Practi ce provides a comprehensive and accessible introducti on to federated learning which is suitable for researchers and students in academia, and industrial practitioners who seek to leverage the latest advance in machine learning for their entrepreneurial endeavors. Presents the fundamentals and a survey of key developments in the field of federated learning Provides emerging, state-of-the art topics that build on fundamentals Contains industry applications Gives an overview of visions of the future.
URL:Aggregator: https://learning.oreilly.com/library/view/-/9780443190384/?ar
Datenträger:Online-Ressource
Sprache:eng
Bibliogr. Hinweis:Erscheint auch als : Druck-Ausgabe
Sach-SW:Apprentissage automatique
K10plus-PPN:1899110089
 
 
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