click to view more
Federated Learning Theory and Practice
by
$143.52
Description
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.
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.
Last updated on
Product Details
- Academic Press Brand
- Feb 15, 2024 Pub Date:
- 9780443190377 ISBN-13:
- 0443190372 ISBN-10:
- English Language
- 9.21 in * 0.98 in * 7.52 in Dimensions:
- 2 lb Weight:
Money Back
Love it! Use it! Reuse it!
Free Shipping
Shipping is on us
Free Support
24/24 available
