Zitan Chen

Cross-Silo Prototypical Calibration for Federated Learning with Non-IID Data

2023 · arXiv (Cornell University)

Federated Learning aims to learn a global model on the server side that generalizes to all clients in a privacy-preserving manner, by leveraging the local models from different clients. Existing solutions focus on either regularizing …