7 citations · 7 across the 2 of their papers we have counts for
2 papers
cs.LG2023
Federated Learning with Diffusion Models for Privacy-Sensitive Vision Tasks
Ye Lin Tun, Chu Myaet Thwal, Ji Su Yoon +3
Diffusion models have shown great potential for vision-related tasks, particularly for image generation. However, their training is typically conducted in a centralized manner, rel…
cs.LG2023★ 7 cited
Prototype Helps Federated Learning: Towards Faster Convergence
Yu Qiao, Seong-Bae Park, Sun Moo Kang +1
Federated learning (FL) is a distributed machine learning technique in which multiple clients cooperate to train a shared model without exchanging their raw data. However, heteroge…