Studies in Computational Intelligence

Shafik, Wasswa; Dutta, Pushan Kumar; Pattanaik, Priyadarshini

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.

Details

Published by: Springer

Publication Date: 2026-02-07

Format: Hardcover

ISBN-13: 9783032039842

DOI: 10.1007/978-3-032-03985-9

Dimensions: 235cm x155cm

Pages: 891