Description
John Wiley Federated Learning For Future Intelligent Wireless Networks by Yao Sun
Federated Learning for Future Intelligent Wireless NetworksExplore the concepts algorithms and applications underlying federated learningIn 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 distributionPerfect 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.