Hao-Rui Chen

Bias Mitigation in Federated Learning Through Feature Integration

Machine learning models are trained on datasets where undesired features have spurious correlations with the target variable, resulting in the bias shifts of the model output to a different class. In federated learning (FL), a common problem is data distribution skew. Since each client has a different distribution, mod...