12 citations · 12 across the 1 of their papers we have counts for
Showing cs.LGShow all
2 papers · 1 filter
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★ 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…