Federated Learning: Theory and Practice (Paperback) (ISBN-13: 9780443190377)

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.

Author: Lam M. Nguyen
ISBN-10: 0443190372
ISBN-13: 9780443190377
Publisher: Academic Press
Language: English
Published: 02/15/2024
Pages: 434
Format: Paperback
Weight: 1.64lbs
Size: 9.25h x 7.50w x 0.89d