Peng, Jing

FedMT: Federated Learning with Mixed-type Labels

2022 · arXiv (Cornell University)

In federated learning (FL), classifiers (e.g., deep networks) are trained on datasets from multiple data centers without exchanging data across them, which improves the sample efficiency. However, the conventional FL setting assumes the same labeling …