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Privacy-adaptive end-to-end federated learning framework with self-learning differential privacy and personalized optimization for secure healthcare intelligence

Crossref DOI link: https://doi.org/10.1007/s40747-026-02266-8

Published Online: 2026-03-08

Published Print: 2026-04

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Kirupa Shankar, K. M.

Santhi, V.
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Text and Data Mining valid from 2026-03-08

Version of Record valid from 2026-03-18
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Article History

Received: 25 August 2025

Accepted: 5 February 2026

First Online: 8 March 2026

Declarations

:

: The authors declare that they have no potential conflict of interest.

: All applicable institutional and/or national guidelines for the care and use of animals were followed.

: For this type of analysis formal consent is not needed.

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