Simulating Federated Learning For Steatosis Detection Using Ultrasound Images

This study focuses on implementing data partitioning strategies and evaluating the performance of fuzzy logic algorithms for detecting hepatic steatosis using deep learning on B-mode US images. The impact of data imbalance and distribution mismatch on model performance is also examined.