Kyle Sang

Balancing Label Imbalance in Federated Environments Using Only Mixup and Artificially-Labeled Noise

2024 · arXiv (Cornell University)

Clients in a distributed or federated environment will often hold data skewed towards differing subsets of labels. This scenario, referred to as heterogeneous or non-iid federated learning, has been shown to significantly hinder model training …