Blockchain-Enabled Federated Learning for Privacy and Security (Paperback)

Language: English

Published by LAP Lambert Academic Publishing, 2025

6209074316 / 9786209074318

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  • New
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Seller: CitiRetail, Stevenage, United KingdomCitiRetail

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Softcover

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Paperback. The book "Blockchain-Enabled Federated Learning for Privacy and Security" explores the integration of blockchain technology and federated learning to address critical challenges in healthcare data sharing. With the rise of electronic health records, medical imaging, IoMT devices, and genomics, safeguarding patient privacy while enabling collaborative AI has become essential. Blockchain provides decentralization, immutability, and trust, while federated learning ensures model training without exposing raw data. Together, they form a privacy-preserving, auditable, and scalable framework for healthcare AI. The book covers fundamentals, system architectures, cryptographic techniques, and performance trade-offs, along with real-world case studies in cancer research, IoMT, and COVID-19 diagnosis. It highlights regulatory and ethical considerations such as GDPR, HIPAA, and India's DPDP Act, and proposes future research in quantum integration, explainable AI, fairness-aware FL, and governance through smart contracts. This comprehensive guide serves researchers, healthcare professionals, and policymakers in building secure, transparent, and patient-centric healthcare ecosystems. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…

Seller Inventory # 9786209074318

Title
Blockchain-Enabled Federated Learning for Privacy and Security (Paperback)
Author
Prof M. Sukanya
Publisher
LAP Lambert Academic Publishing
Publication year
2025
Condition
new
Binding
Paperback
Language
English
ISBN 10
6209074316
ISBN 13
9786209074318

CitiRetail

Stevenage, United Kingdom

5-star seller

AbeBooks seller since June 29, 2022

Shipping rates from United Kingdom to U.S.A.

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