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Federated Learning for Future Intelligent Wireless Networks

By: Chaoqun You (Edited by) , Gang Feng (Edited by) , Lei Zhang (Edited by) , Yao Sun (Edited by)

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Ksh 26,150.00

Format: Hardback or Cased Book

ISBN-10: 1119913896

ISBN-13: 9781119913894

Publisher: John Wiley & Sons Inc

Imprint: Wiley-IEEE Press

Country of Manufacture: US

Country of Publication: GB

Publication Date: Nov 28th, 2023

Publication Status: Active

Product extent: 320 Pages

Weight: 694.00 grams

Product Classification / Subject(s): WAP (wireless) technology
Machine learning

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Federated Learning for Future Intelligent Wireless Networks Explore the concepts, algorithms, and applications underlying federated learning In Federated Learning for Future Intelligent Wireless Networks, a team of distinguished researchers deliver a robust and insightful collection of resources covering the foundational concepts and algorithms powering federated learning, as well as explanations of how they can be used in wireless communication systems. The editors have included works that examine how communication resource provision affects federated learning performance, accuracy, convergence, scalability, and security and privacy. Readers will explore a wide range of topics that show how federated learning algorithms, concepts, and design and optimization issues apply to wireless communications. Readers will also find: A thorough introduction to the fundamental concepts and algorithms of federated learning, including horizontal, vertical, and hybrid FLComprehensive explorations of wireless communication network design and optimization for federated learningPractical discussions of novel federated learning algorithms and frameworks for future wireless networksExpansive case studies in edge intelligence, autonomous driving, IoT, MEC, blockchain, and content caching and distribution Perfect for electrical and computer science engineers, researchers, professors, and postgraduate students with an interest in machine learning, Federated Learning for Future Intelligent Wireless Networks will also benefit regulators and institutional actors responsible for overseeing and making policy in the area of artificial intelligence.

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