The main idea is to adjust the client distribution closer to the global distribution using sample weights. Thus, the machine learning (ML) model converges faster with higher accuracy. We start from ...

Denoising diffusion models (DDMs) have attracted attention for their exceptional generation quality and diversity. This success is largely attributed to the use of class- or text-conditional diffusion ...