12 citations · 13 across the 3 of their papers we have counts for
3 papers
cs.LG2026
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…
cs.LG2021★ 1 cited
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…
cs.LG2021★ 12 cited
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…