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Browsing by Author : Hahn, Seok-Ju

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CAFO: Feature-Centric Explanation on Time Series Classification File

Kim, Jaeho , Hahn, Seok-Ju , Hwang, Yoontae , Lee, Junghye , Lee, Seulki

Conference Paper Issue Date2024-08-28 View56
Connecting Low-Loss Subspace for Personalized Federated Learning File

Hahn, Seok-Ju , Jeong, Minwoo , Lee, Junghye

Conference Paper Issue Date2022-08-14 View33
Federated Learning with Learned Sufficient Statistic and Generative Models

Hahn, Seok-Ju , Lee, Junghye

Conference Paper Issue Date2021-06-03 View29
Federated Learning with Sufficient Dimension Reduction and Generative Models File

Hahn, Seok-Ju

Thesis Issue Date2021-02 View81
Learning a Personalized Subspace for Federated Learning

Hahn, Seok-Ju , Jeong, Minwoo , Lee, Junghye

Conference Paper Issue Date2021-11-12 View29
Prediction of type 2 diabetes using genome-wide polygenic risk score and metabolic profiles: A machine learning analysis of population-based 10-year prospective cohort study File File

Hahn, Seok-Ju , Kim, Suhyeon , Choi, Young Sik , Lee, Junghye , Kang, Jihun

Article Issue Date2022-12 View57
Privacy-preserving Federated Bayesian Learning of a Generative Model for Imbalanced Classification of Clinical Data

Hahn, Seok-Ju , Lee, Junghye

Conference Paper Issue Date2019-11-08 View32
Pursuing Overall Welfare in Federated Learning through Sequential Decision Making

Hahn, Seok-Ju , Kim, Gi-Soo , Lee, Junghye

Conference Paper Issue Date2024-07-21 View75
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