Jingyi Xu

Training Classifiers that are Universally Robust to All Label Noise Levels

2021

For classification tasks, deep neural networks are prone to overfitting in the presence of label noise. Although existing methods are able to alleviate this problem at low noise levels, they encounter significant performance reduction at …

Analog Over-the-Air Federated Learning With Real-World Data

2022

Federated edge learning enables intelligence services to be deployed at the edge of future wireless network. To address the limited spectral resource and constrained scalability, analog over-the-air federated learning is recently proposed to achieve fast …