Abstract: Federated learning (FL) enables the collaborative training of intelligent diagnostic models across multiple clients while preserving data privacy. However, the complex and dynamic working ...

Abstract: Recent studies on data augmentation have focused on improving model performance with limited training data within a specific dataset. While the goal is to enhance performance on the dataset ...