A F M Mahfuzul Kabir

Personalized Federated Training of Diffusion Models with Privacy Guarantees

We propose a federated framework for training diffusion models on decentralized and private datasets. The method learns a shared generative model alongside personalized client models, allowing clients to benefit from cross-client structure while ensuring that the shared model cannot reproduce any cl