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Found 2 papers, 1 papers with code
Federated Learning with Diffusion Models for Privacy-Sensitive Vision Tasks
We conduct experiments on various FL scenarios, and our findings demonstrate that federated diffusion models have great potential to deliver vision services to privacy-sensitive domains.
Prototype Helps Federated Learning: Towards Faster Convergence
In this paper, a prototype-based federated learning framework is proposed, which can achieve better inference performance with only a few changes to the last global iteration of the typical federated learning process.
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