Studies in Systems, Decision and Control

Mohana, Rajni; Sharma, Aman; Nayyar, Anand; Saini, Poonam

This book presents a comprehensive exploration of federated learning and its transformative potential across industries, focusing on privacy-preserving, decentralized AI solutions. It introduces novel frameworks and applications in healthcare, smart transportation, energy optimization, and Industry 4.0, emphasizing real-world use cases and addressing key challenges in privacy, scalability, and collaboration. By bridging theory and practice, the book provides actionable insights into implementing federated learning for dynamic, interconnected ecosystems like the Industrial Internet of Everything (IoE). Aimed at researchers, practitioners, and policymakers, it offers cutting-edge strategies to enhance efficiency, security, and innovation in diverse industrial domains.

Details

Published by: Springer

Publication Date: 2025-09-27

Format: Hardcover

ISBN-13: 9783031992698

DOI: 10.1007/978-3-031-99270-4

Dimensions: 235cm x155cm

Pages: 287