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The Convergence of Federated Learning and Healthcare 5.0 and Beyond: A New Era of Intelligent Health Systems (Not yet published)

PUBLISHER Springer (01/15/2026)
PRODUCT TYPE Hardcover (Hardcover)

Description

This book introduces a novel integration of Federated Learning with the vision of Healthcare 5.0 to enable secure, adaptive, and intelligent health systems. It presents cutting-edge frameworks that support decentralized model training across medical institutions while preserving patient privacy and ensuring compliance with data regulations.

Focusing on real-world use cases, such as predictive diagnostics, edge-based patient monitoring, personalized medicine, and surgical robotics, it bridges theoretical advances with practical implementations. This book provides deep insights into the design of scalable, privacy-preserving artificial intelligence infrastructures suited for cross-institutional collaboration.

It is designed for artificial intelligence researchers, digital health architects, healthcare technologists, and policy advisors. This supports the development of human-centric, resilient, and interoperable smart healthcare ecosystems.
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Product Format
Product Details
ISBN-13: 9783032039842
ISBN-10: 3032039843
Binding: Hardback or Cased Book (Sewn)
Content Language: English
More Product Details
Page Count: 1005
Carton Quantity: 0
Country of Origin: NL
Subject Information
BISAC Categories
Computers | Artificial Intelligence - General
Computers | Engineering (General)
Computers | Informatics
Descriptions, Reviews, Etc.
jacket back

This book introduces a novel integration of Federated Learning with the vision of Healthcare 5.0 to enable secure, adaptive, and intelligent health systems. It presents cutting-edge frameworks that support decentralized model training across medical institutions while preserving patient privacy and ensuring compliance with data regulations.

Focusing on real-world use cases, such as predictive diagnostics, edge-based patient monitoring, personalized medicine, and surgical robotics, it bridges theoretical advances with practical implementations. This book provides deep insights into the design of scalable, privacy-preserving artificial intelligence infrastructures suited for cross-institutional collaboration.

It is designed for artificial intelligence researchers, digital health architects, healthcare technologists, and policy advisors. This supports the development of human-centric, resilient, and interoperable smart healthcare ecosystems.
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List Price $219.99
Your Price  $217.79
Hardcover