Demystifying Federated Learning for Blockchain and Industrial Internet of Things

Mobile technology and the internet of objects have been used in mobile networks to meet new technical demands, such as data storage, computation, and low latency management. Federated learning is an effective framework to improve network security in heterogeneous industrial internet of things (IIoT) environments. This premier reference source is an essential resource for computer scientists, programmers, government officials, business leaders and managers, students and faculty of higher education, researchers, and academicians.

Format: Paperback / softback
Length: 300 pages
Publication date: 30 July 2022
Publisher: IGI Global

In recent years, mobile technology and the Internet of Things (IoT) have been leveraged in mobile networks to address emerging technical demands. These needs have primarily revolved around data storage, computation, and efficient management of low latency in potentially smart cities, transportation systems, smart grids, and various sustainable environments. Federated learning has made significant contributions to this realm by offering an effective framework for enhancing network security in heterogeneous industrial IoT (IIoT) environments.

Demystifying Federated Learning for Blockchain and Industrial Internet of Things delves into the latest applications of federated learning in the context of blockchain and IIoT to optimize data for next-generation networks. It aims to provide readers with a comprehensive understanding of this emerging field, fostering an appreciation for the theme that will shape the next generation of secure communication. The book covers a wide range of topics, including smart agriculture, object identification, and educational big data. As a premier reference source, it is invaluable for computer scientists, programmers, government officials, business leaders, managers, students, faculty of higher education, researchers, and academicians.

By leveraging mobile technology and the IoT, we can unlock new possibilities and transform the way we live, work, and interact with the world around us. Federated learning plays a crucial role in this journey by providing a robust framework for enhancing network security and optimizing data in diverse industrial environments. This book serves as a valuable resource for anyone seeking to stay ahead of the curve and contribute to the development of a more secure and connected future.

Dimension: 279 x 216 (mm)
ISBN-13: 9781668437346