Learning Techniques for the Internet of Things (Hardcover, 2024)

Chapter. 1.?Edge Computing for IoTChapter. 2. Federated Learning Systems: Mathematical modelling and Internet?of ThingsChapter. 3.?Federated Learning for Internet of ThingsChapter. 4.?Machine Learning Techniques for Industrial Internet of ThingsChapter. 5.?Exploring IoT Communication Technologies and Data-Driven?SolutionsChapter. 6.?Towards Large-Scale IoT Deployments in Smart Cities:?Requirements and ChallengesChapter. 7.?Digital Twin and IoT for Smart City MonitoringChapter. 8.?Multiobjective and Constrained Reinforcement Learning for IoTChapter. 9.?Intelligence Inference on IoT DevicesChapter. 10.?Applications of Deep Learning models in diverse streams of IoTChapter. 11.?Quantum Key Distribution in Internet of ThingsChapter. 12.?Quantum Internet of Things for Smart HealthcareChapter. 13.?Enhancing Security in Intelligent Transport Systems: A?Blockchain-Based Approach for IoT Data ManagementIndex