Privacy-Preserving Multi-Label Chest Disease Classification using CLAHE-Enhanced ResNeSt-50 in a Federated Learning Framework
Deep learning based medical diagnosis systems are often hindered by privacy restrictions on patients’ health data. In this paper, we propose a privacy preserving decentralized algorithm for multi-label classification of chest diseases using Federated Learning (FL). We experimented on 26,218 images sampled from NIH Ches...