Federated Learning with Disentangled Representations for Heterogeneous Medical Image Segmentation
This repository contains the model checkpoints for the GitHub repository of the thesis "Federated Learning with Disentangled Representations for Heterogeneous Medical Image Segmentation" and the paper "FedGS: Federated Gradient Scaling for Heterogenous Medical Image Segmentation" by Philip Schutte, Valentina Corbetta and Wilson Silva.
The GitHub repository can be found here https://github.com/Trustworthy-AI-UU-NKI/Federated-Learning-Disentanglement
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