Securing Federated Learning in Medical Image Analysis: A Systematic Review of Privacy Threats and Defense Mechanisms

Computer Modeling in Engineering & Sciences 2026 Open access

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Authors: Malika Abid, Mohammed Kamel Benkaddour, Mohamed Benouis, Amine Khaldi, Monalisa Sahu, Aditya Kumar Sahu
DOI: 10.32604/cmes.2026.081055
Cited by: 1

Abstract

Federated Learning (FL) is a cutting-edge method in the medical imaging field that allows hospitals to collaboratively build models without revealing patient data. Nevertheless, FL is still vulnerable to numerous security and... | Find, read and cite all the research you need on Tech Science Press

Fields of Study & Subjects

Privacy-Preserving Technologies in Data Internet of Things and AI COVID-19 diagnosis using AI

Publication details

Journal / source
Computer Modeling in Engineering & Sciences
Publisher
Tech Science Press
Volume
148
Issue
1
Pages
1–10
Publication date
1 January 2026
Language
EN