Kumar Integrating Cloud, Fog, and Edge Computing in Healthcare: Federated Learning and Blockchain Approaches

Integrating Cloud, Fog, and Edge Computing in Healthcare: Federated Learning and Blockchain Approaches

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Harnessing Distributed Technologies for Enhanced Healthcare Delivery

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Beschreibung

This book discusses how Cloud, Fog, and Edge computing, alongside federated learning and blockchain, are revolutionizing healthcare systems by addressing the challenges of data management, privacy, and efficiency. Targeted at healthcare technology researchers, professionals, and advanced students, it explores how these technologies enhance patient care, data security, and organizational effectiveness. The book provides a detailed overview of how Cloud, Fog, and Edge computing work in healthcare, focusing on real-time data processing and secure data sharing. It covers integrating federated learning for privacy-preserving AI models, blockchain for ensuring data integrity, and the technical and regulatory challenges of implementing these systems in healthcare settings. Real-world case studies illustrate successful applications, while practical advice helps navigate common obstacles. A must-read for anyone involved in healthcare delivery, research, or policy, this book offers invaluable insights into the future of healthcare technology. It equips healthcare professionals and technologists with the knowledge to leverage these emerging tools to improve patient outcomes, safeguard electronic health records, and streamline healthcare delivery systems.


This book discusses how Cloud, Fog, and Edge computing, alongside federated learning and blockchain, are revolutionizing healthcare systems by addressing the challenges of data management, privacy, and efficiency. Targeted at healthcare technology researchers, professionals, and advanced students, it explores how these technologies enhance patient care, data security, and organizational effectiveness. The book provides a detailed overview of how Cloud, Fog, and Edge computing work in healthcare, focusing on real-time data processing and secure data sharing. It covers integrating federated learning for privacy-preserving AI models, blockchain for ensuring data integrity, and the technical and regulatory challenges of implementing these systems in healthcare settings. Real-world case studies illustrate successful applications, while practical advice helps navigate common obstacles. A must-read for anyone involved in healthcare delivery, research, or policy, this book offers invaluable insights into the future of healthcare technology. It equips healthcare professionals and technologists with the knowledge to leverage these emerging tools to improve patient outcomes, safeguard electronic health records, and streamline healthcare delivery systems.


Explores Cloud, Fog, and Edge computing with federated learning and blockchain for healthcare systems Features case studies on advanced technologies for secure, efficient healthcare data management Provides solutions to challenges in privacy, scalability, and compliance in healthcare IT systems

Autor*in

Naween Kumar

Themen in »Integrating Cloud, Fog, and Edge Computing in Healthcare: Federated Learning and Blockchain Approaches«

Cloud Computing Fog Computing Edge Computing Healthcare Federated Learning Federated Edge Resources IoT Integration System Modelling Research challenges Blockchain Network Slicing 5G Orchestration Health Optimization Machine Learning

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Details

ISBN: 9783031962646
Verlag: Springer International Publishing
Erscheinung: 03.01.2026

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