Privacy-preserving Federated Bayesian Learning of a Generative Model for Imbalanced Classification of Clinical Data. - Seok-Ju Hahn; Junghye Lee (CoRR, 2019)

GRAFFL: Gradient-free Federated Learning of a Bayesian Generative Model. - Seok-Ju Hahn; Junghye Lee (CoRR, 2020)

Subspace Learning for Personalized Federated Optimization. - Seok-Ju Hahn; Minwoo Jeong; Junghye Lee (CoRR, 2021)

Connecting Low-Loss Subspace for Personalized Federated Learning. - Seok-Ju Hahn; Minwoo Jeong; Junghye Lee (KDD, 2022)

Pursuing Overall Welfare in Federated Learning through Sequential Decision Making. - Seok-Ju Hahn; Gi-Soo Kim; Junghye Lee (ICML, 2024)

CAFO: Feature-Centric Explanation on Time Series Classification. - Jaeho Kim; Seok-Ju Hahn; Yoontae Hwang; Junghye Lee; Seulki Lee 002 (KDD, 2024)

Algorithms for Collaborative Machine Learning under Statistical Heterogeneity. - Seok-Ju Hahn (CoRR, 2024)