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Seok-Ju Hahn

2 accepted papers

2025

Diffusion Federated Dataset

NeurIPS 2025poster

Diffusion models have demonstrated decent generation quality, yet their deployment in federated learning scenarios remains challenging. Due to data heterogeneity and a large number of parameters, conventional parameter averaging schemes often fail to achieve stable collaborative training of diffusio…

Cited by 0SourceScholar
2024

Pursuing Overall Welfare in Federated Learning through Sequential Decision Making

ICML 2024poster

In traditional federated learning, a single global model cannot perform equally well for all clients. Therefore, the need to achieve the *client-level fairness* in federated system has been emphasized, which can be realized by modifying the static aggregation scheme for updating the global model to…