FedMT: Federated Learning with Mixed-type Labels

no code implementations • 5 Oct 2022 • Qiong Zhang, Jing Peng, Xin Zhang, Aline Talhouk, Gang Niu, Xiaoxiao Li

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.

Federated Learning Vocal Bursts Type Prediction