12 citations · 14 across the 4 of their papers we have counts for
4 papers
Federated Learning for Feature Generalization with Convex Constraints
Dongwon Kim, Donghee Kim, Sung Kuk Shyn +1
Federated learning (FL) often struggles with generalization due to heterogeneous client data. Local models are prone to overfitting their local data distributions, and even transfe…
Img2Tab: Automatic Class Relevant Concept Discovery from StyleGAN Features for Explainable Image Classification
Youngjae Song, Sung Kuk Shyn, Kwang-su Kim
Traditional tabular classifiers provide explainable decision-making with interpretable features(concepts). However, using their explainability in vision tasks has been limited due…
A Daily Tourism Demand Prediction Framework Based on Multi-head Attention CNN: The Case of The Foreign Entrant in South Korea
Dong-Keon Kim, Sung Kuk Shyn, Donghee Kim +2
Developing an accurate tourism forecasting model is essential for making desirable policy decisions for tourism management. Early studies on tourism management focus on discovering…
FedCCEA : A Practical Approach of Client Contribution Evaluation for Federated Learning
Sung Kuk Shyn, Donghee Kim, Kwangsu Kim
Client contribution evaluation, also known as data valuation, is a crucial approach in federated learning(FL) for client selection and incentive allocation. However, due to restric…