Lingling Zheng

PriFedDD: Federated Discrete Diffusion for Medical Image Generation with a Utility-Privacy Trade-Off

Generative modeling for medical imaging requires accurate representation of anatomical structures while limiting direct exposure of patient data in cross-institutional collaboration. Although continuous diffusion models have shown effectiveness in natural image generation, their Gaussian corruption process is less alig...