Federated Learning for Histopathological Image Segmentation: A Privacy-Preserving Study Using the EBHI-Seg Dataset
Federated learning (FL) enables collaborative model training without centralizing sensitive medical data, making it attractive for digital pathology. This study evaluates FL for histopathological image segmentation using the EBHI-Seg dataset under independent and identically distributed (IID) and classstratified non-II...