Yuan-Yi Xu

Bias-Eliminating Augmentation Learning for Debiased Federated Learning

Learning models trained on biased datasets tend to observe correlations between categorical and undesirable features, which result in degraded performances. Most existing debiased learning models are designed for centralized machine learning, which cannot be directly applied to distributed settings…