Leveraging Pre-trained Models to Enhance Robustness in Federated Learning for Kidney Stone Type Recognition

Integrating pre-trained models into a Federated Learning framework can improve diagnostic accuracy and robustness against image corruption in kidney stone identification, addressing privacy concerns and enhancing patient care.