In recent years, mobile technology and the internet of objects have been used in mobile networks to meet new technical demands. Emerging needs have centered on data storage, computation, and low latency management in potentially smart cities, transport, smart grids, and a wide number of sustainable environments. Federated learning’s contributions include an effective framework to improve network security in heterogeneous industrial internet of things (IIoT) environments. Demystifying Federated Learning for Blockchain and Industrial Internet of Things rediscovers, redefines, and reestablishes the most recent applications of federated learning using blockchain and IIoT to optimize data for next-generation networks. It provides insights to readers in a way of inculcating the theme that shapes the next generation of secure communication. Covering topics such as smart agriculture, object identification, and educational big data, 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.
- ISBN10 166843735X
- ISBN13 9781668437353
- Publish Date 17 June 2022
- Publish Status Active
- Publish Country US
- Imprint IGI Global
- Format eBook
- Pages 240
- Language English
- URL http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-6684-3733-9&buylink=true