Sun, Yao edt You, Chaoqun edt Feng, Gang edt Zhang, Lei edt text xxu Wiley 2023 |||| 1 monographic eng

electronic

electronic resource

access 320pp.; 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 FL Comprehensive explorations of wireless communication network design and optimization for federated learning Practical discussions of novel federated learning algorithms and frameworks for future wireless networks Expansive 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. specialized Edited by Yao Sun, Chaoqun You, Gang Feng, Lei Zhang. Communication Technology - Networks Intelligent Systems & Agents Artificial Intelligence Federated learning operations; federated learning challenges; federated learning algorithms; federated learning applications; federated learning case studies; 6g; 6g federated learning; fl; 6g fl; federated learning privacy; edge intelligence 9781119913924 https://onlinelibrary.wiley.com/action/showBook?doi=10.1002%2F9781119913924 https://onlinelibrary.wiley.com/cms/asset/bc97e5f8-fb2d-4a5f-b085-6ba3d7d74053/9781119913924.cover.gif https://onlinelibrary.wiley.com/action/showBook?doi=10.1002%2F9781119913924 https://onlinelibrary.wiley.com/cms/asset/bc97e5f8-fb2d-4a5f-b085-6ba3d7d74053/9781119913924.cover.gif 231206 20251030120318.0 10.1002/9781119913924