Deep learning has been a powerful tool for medical image analysis, but large amount of
high-quality labeled datasets are generally required to train deep learning models with …

Federated learning holds great potential for enabling large-scale healthcare research and
collaboration across multiple centres while ensuring data privacy and security are not …

Federated learning (FL) coordinates multiple devices to collaboratively train a shared model
while preserving data privacy. However, large memory footprint and high energy …