In recent years, Federated Learning (FL) has gained traction as a privacy-centric approach in medical imaging. This study explores the challenges posed by data heterogeneity on FL algorithms, using th
The CADICA dataset is an annotated Invasive Coronary Angiography (ICA) dataset of 42 patients. In ICA imaging, lesion degree assessment is commonly done by visual estimation, which implies a subjectiv
