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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