[Medical ML] Federated Learning for Privacy-Preserving Medical AI Training: Multi-Institutional Collaboration Without Data Sharing

Part of the Medical ML Research Series: Machine Learning for Medical Diagnosis in Ukrainian Healthcare. Published on Stabilarity Research Hub.

Authors

Oleh Ivchenko (ORCID: https://orcid.org/0000-0002-9540-1637)

Institutions

Odessa National Polytechnic University (UA)

Publication Details

Journal: Zenodo (CERN European Organization for Nuclear Research)
Published: 2026-02-12
DOI: https://doi.org/10.5281/zenodo.18616002
Primary Topic: Privacy-Preserving Technologies in Data
Type: article
Field-Weighted Citation Impact: 0.00

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article

[Medical ML] Federated Learning for Privacy-Preserving Medical AI Training: Multi-Institutional Collaboration Without Data Sharing

Oleh Ivchenko

Feb 12, 2026

Zenodo (CERN European Organization for Nuclear Research)

Privacy-Preserving Technologies in Data

article

[Medical ML] Federated Learning for Privacy-Preserving Medical AI Training: Multi-Institutional Collaboration Without Data Sharing

Oleh Ivchenko

February 12, 2026article en

Abstract

Part of the Medical ML Research Series: Machine Learning for Medical Diagnosis in Ukrainian Healthcare. Published on Stabilarity Research Hub.

Zenodo (CERN European Organization for Nuclear Research)

Odessa National Polytechnic University (UA)

Partnerships for the goals

Openalex Percentile: Top 59%

Privacy-Preserving Technologies in Data

DOI Open Access PDF OpenAlex

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[Medical ML] Federated Learning for Privacy-Preserving Medical AI Training: Multi-Institutional Collaboration Without Data Sharing — Oleh Ivchenko · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS