Detecting Data Poisoning Attacks in Federated Learning for Healthcare Applications Using Deep Learning

This work presents a novel method for securing federated learning in healthcare applications, focusing on skin cancer classification. The suggested solution detects and mitigates data poisoning attacks using deep learning and CNN architecture, specifically VGG16. In a federated learning architectur...

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Bibliographic Details

Published in:	Iraqi Journal for Computer Science and Mathematics
Main Authors:	Alaa Hamza Omran, Sahar Yousif Mohammed, Mohammad Aljanabi
Format:	Article
Language:	English
Published:	College of Education, Al-Iraqia University 2023-11-01
Subjects:	Deep Learning Federated Learning Healthcare Data Poisoning Attacks Skin Cancer Detection
Online Access:	https://journal.esj.edu.iq/index.php/IJCM/article/view/1425