Federated and Trustworthy AI for Climate-Resilient Cyber- Physical Systems: Foundations, Applications and Challenges (Studies in Systems, Decision and Control, 684)

This book provides a timely and much-needed examination of how Federated and Trustworthy Artificial Intelligence (AI) can address the real-time challenges posed by climate change on cyber-physical systems (CPS) and Internet of Things (IoT) infrastructures.With extreme weather events, energy shortages, agricultural disruptions, and urban vulnerabilities on the rise, there is an urgent demand for intelligent, distributed, and resilient solutions that can safeguard critical infrastructures while ensuring sustainability and trust. The central premise of this book is that traditional centralized AI is no longer sufficient.Centralized models face serious limitations: they consume vast energy resources, expose sensitive environmental and operational data, and often collapse under communication bottlenecks during crises.In contrast, federated learning enables distributed IoT devices and CPS nodes to collaboratively train models without sharing raw data, reducing latency, preserving privacy, an