Seok-Ju Hahn

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 7

Top Topics

Sequential Decision Making

Network Centric

Bayesian Learning

Maximum Margin Criterion

Top Venues

Publications

Jaeho Kim, Seok-Ju Hahn, Yoontae Hwang, Junghye Lee, Seulki Lee
CAFO: Feature-Centric Explanation on Time Series Classification. KDD (2024)
Jaeho Kim, Seok-Ju Hahn, Yoontae Hwang, Junghye Lee, Seulki Lee
CAFO: Feature-Centric Explanation on Time Series Classification. CoRR (2024)
Seok-Ju Hahn, Gi-Soo Kim, Junghye Lee
Pursuing Overall Welfare in Federated Learning through Sequential Decision Making. CoRR (2024)
Seok-Ju Hahn, Minwoo Jeong, Junghye Lee
Connecting Low-Loss Subspace for Personalized Federated Learning. KDD (2022)
Seok-Ju Hahn, Minwoo Jeong, Junghye Lee
Subspace Learning for Personalized Federated Optimization. CoRR (2021)
Seok-Ju Hahn, Junghye Lee
GRAFFL: Gradient-free Federated Learning of a Bayesian Generative Model. CoRR (2020)
Seok-Ju Hahn, Junghye Lee
Privacy-preserving Federated Bayesian Learning of a Generative Model for Imbalanced Classification of Clinical Data. CoRR (2019)