1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.LG2026
FedCova: Robust Federated Covariance Learning Against Noisy Labels
Xiangyu Zhong, Xiaojun Yuan, Ying-Jun Angela Zhang
Noisy labels in distributed datasets induce severe local overfitting and consequently compromise the global model in federated learning (FL). Most existing solutions rely on select…
eess.SP2022★ 1 cited
UAV-Assisted Hierarchical Aggregation for Over-the-Air Federated Learning
Xiangyu Zhong, Xiaojun Yuan, Huiyuan Yang +1
With huge amounts of data explosively increasing in the mobile edge, over-the-air federated learning (OA-FL) emerges as a promising technique to reduce communication costs and priv…