Federated Learning: The Foundation for Privacy-Preserving Healthcare Analytics

The rapid advancement of Medical AI in Digital Health is hampered by a fundamental paradox: the need for vast, diverse datasets to train robust models clashe...

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-05-31
DOI
https://doi.org/10.5281/zenodo.17996678
Primary Topic
Privacy-Preserving Technologies in Data
Type
article
Field-Weighted Citation Impact
0.00
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article

Federated Learning: The Foundation for Privacy-Preserving Healthcare Analytics

www.rasitdinc.com
Zenodo (CERN European Organization for Nuclear Research)
Privacy-Preserving Technologies in Data
article

Federated Learning: The Foundation for Privacy-Preserving Healthcare Analytics

www.rasitdinc.com
article en

Abstract

The rapid advancement of Medical AI in Digital Health is hampered by a fundamental paradox: the need for vast, diverse datasets to train robust models clashe...

Zenodo (CERN European Organization for Nuclear Research)
Design Intelligence (United States) (US)
Openalex Percentile: Top 19%
Privacy-Preserving Technologies in Data
DOIOpen Access PDFOpenAlex
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