Lun Wang

F^2ed-Learning: Good Fences Make Good Neighbors

2021 · arXiv (Cornell University)

In this paper, we present F^2ed-Learning, the first federated learning protocol simultaneously defending against both semi-honest server and Byzantine malicious clients. Using a robust mean estimator called FilterL2, F^2ed-Learning is the first FL protocol with …

Enhancing Federated Learning with In-Cloud Unlabeled Data

2022 · 2022 IEEE 38th International Conference on Data Engineering (ICDE)

Federated learning (FL) has been widely applied to collaboratively train deep learning (DL) models on massive end devices (i.e., clients). Due to the limited storage capacity and high labeling cost, there are always insufficient data …