Learning Techniques For The Internet Of Things

[Farid]

English | 2024 | ISBN: 3031505131 | 344 Pages | PDF EPUB (True) | 32 MB

Subject: Computer Technology, Technology, Engineering, Nonfiction
Publisher: Springer Nature Switzerland
Description:

The book is structured into thirteen chapters; each comes with its own dedicated contributions and future research directions. Chapter 1 introduces IoT and the use of Edge computing, particularly cloud computing, and mobile edge computing. This chapter also mentions the use of edge computing in various real-time applications such as healthcare, manufacturing, agriculture, and transportation. Chapter 2 motivates mathematical modeling for federated learning systems with respect to IoT and its applications. Further Chapter 3 extends the discussion of federated learning for IoT, which has emerged as a privacy-preserving distributed machine learning approach.

🌞 Contents of Download:
📌 978-3-031-50514-0.epub (Praveen Kumar Donta, Abhishek Hazra, Lauri Lovén) (2024) (23.93 MB)
📌 978-3-031-50514-0.pdf (Vikas Garg) (2020) (12.59 MB)

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⭐️ Learning Techniques For The Internet Of Things ✅ (36.52 MB)
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