Demystifying Federated Learning for Blockchain and Industrial Internet of Things (Advances in Computational Intelligence and Robotics)

Price: $270.00
(as of Dec 25,2024 01:49:47 UTC – Details)

Publisher ‏ : ‎ IGI Global (June 17, 2022)
Language ‏ : ‎ English
Hardcover ‏ : ‎ 240 pages
ISBN-10 ‏ : ‎ 1668437333
ISBN-13 ‏ : ‎ 978-1668437339
Item Weight ‏ : ‎ 1.4 pounds
Dimensions ‏ : ‎ 7 x 0.63 x 10 inches

Federated learning has rapidly emerged as a powerful technique for training machine learning models across decentralized networks, such as blockchain and Industrial Internet of Things (IIoT) devices. In a new book titled “Demystifying Federated Learning for Blockchain and Industrial Internet of Things (Advances in Computational Intelligence and Robotics),” experts in the field provide a comprehensive overview of this cutting-edge technology and its applications in various industries.

The book delves into the principles of federated learning and how it enables collaborative model training without sharing sensitive data. It explores the challenges and opportunities of implementing federated learning in blockchain networks, where data privacy and security are of utmost importance. Additionally, the book examines the role of federated learning in IIoT environments, where data is generated and processed at the edge of the network.

Readers will gain insights into the latest advancements in federated learning algorithms, optimization techniques, and privacy-preserving mechanisms. Case studies and real-world examples showcase how federated learning can improve predictive maintenance, anomaly detection, and other critical tasks in industrial settings.

Whether you are a researcher, practitioner, or enthusiast in the fields of blockchain, IIoT, or machine learning, this book is a valuable resource for understanding the potential of federated learning in revolutionizing decentralized data analytics. Stay ahead of the curve and unlock the possibilities of federated learning with this insightful guide.
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