Federated Learning: Theory and Practice
Nguyen, Lam M., Hoang, Trong Nghia, Chen, Pin-Yu
- 出版商: Academic Press
- 出版日期: 2024-02-15
- 售價: $4,520
- 貴賓價: 9.5 折 $4,294
- 語言: 英文
- 頁數: 434
- 裝訂: Quality Paper - also called trade paper
- ISBN: 0443190372
- ISBN-13: 9780443190377
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商品描述
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.
商品描述(中文翻譯)
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《聯邦學習：理論與實踐》提供了一個全面且易於理解的聯邦學習入門，適合學術界的研究人員和學生，以及希望利用機器學習的最新進展來推動創業事業的工業從業人員。
