FedMix: Mixed Supervised Federated Learning for Medical Image Segmentation

Jeffry Wicaksana, Zengqiang Yan, Dong Zhang +4

The purpose of federated learning is to enable multiple clients to jointly train a machine learning model without sharing data. However, the existing methods for training an image…