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

Rajni Mohana (u. a.)

ISBN 10: 3031992695 / ISBN 13: 9783031992698

Editore: Springer, 2025

Federated Learning Applications in the Industrial Internet of Everything (IoE) | Rajni Mohana (u. a.) | Buch | Studies in Systems, Decision and Control | xii | Englisch | 2025 | Springer | EAN 9783031992698 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu Print on Demand. Codice articolo 134146243

Riassunto:

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.

Dalla quarta di copertina:

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.

Dati bibliografici

Titolo: Federated Learning Applications in the ...
Casa editrice: Springer
Data di pubblicazione: 2025
Legatura: Buch
Condizione: Neu