Seok-Ju Hahn

According to our database1, Seok-Ju Hahn authored at least 4 papers between 2019 and 2022.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2022
Connecting Low-Loss Subspace for Personalized Federated Learning.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

2021
Subspace Learning for Personalized Federated Optimization.
CoRR, 2021

2020
GRAFFL: Gradient-free Federated Learning of a Bayesian Generative Model.
CoRR, 2020

2019
Privacy-preserving Federated Bayesian Learning of a Generative Model for Imbalanced Classification of Clinical Data.
CoRR, 2019


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