1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.LG2025
A Hessian-informed hyperparameter optimization for differential learning rate
Shiyun Xu, Zhiqi Bu, Yiliang Zhang +1
Differential learning rate (DLR), a technique that applies different learning rates to different model parameters, has been widely used in deep learning and achieved empirical succ…
cs.LG2023★ 1 cited
Federated Learning with Extremely Noisy Clients via Negative Distillation
Yang Lu, Lin Chen, Yonggang Zhang +4
Federated learning (FL) has shown remarkable success in cooperatively training deep models, while typically struggling with noisy labels. Advanced works propose to tackle label noi…