A Quantum-Enhanced Federated Deep Learning Framework for Privacy-Preserving Early Diagnosis of Multi-Organ Diseases Using Multi-Modal Electronic Health Records
The centralization of deep learning is one of the key concerns when using Electronic Health Records (EHRs) to diagnose multi-organ diseases early to enhance clinical outcomes because of severe privacy and data-sharing issues. The proposed research offers a Quantum-Enhanced Federated Deep Learning (QEFDL) framework, whi...