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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…

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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…