Federated Learning Applications in the Industrial Internet of Everything (IoE)

Federated Learning Applications in the Industrial Internet of Everything (IoE) book cover

Federated Learning Applications in the Industrial Internet of Everything (IoE)

Author(s): Rajni Mohana (Editor), Aman Sharma (Editor), Anand Nayyar (Editor), Poonam Saini (Editor)

  • Publisher: Springer
  • Publication Date: September 27, 2025
  • Language: English
  • Print length: 299 pages
  • ISBN-10: 3031992695
  • ISBN-13: 9783031992698

Book Description

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.

Editorial Reviews

From the Back Cover

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.

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