23 citations · 24 across the 3 of their papers we have counts for
3 papers
cs.LG2026
Generalization Bounds of Stochastic Gradient Descent in Homogeneous Neural Networks
Wenquan Ma, Yang Sui, Jiaye Teng +3
Algorithmic stability is among the most potent techniques in generalization analysis. However, its derivation usually requires a stepsize under non-convex…
cs.LG2022★ 1 cited
Towards Data-Algorithm Dependent Generalization: a Case Study on Overparameterized Linear Regression
Jing Xu, Jiaye Teng, Yang Yuan +1
One of the major open problems in machine learning is to characterize generalization in the overparameterized regime, where most traditional generalization bounds become inconsiste…
cs.LG2021★ 23 cited
FedCM: Federated Learning with Client-level Momentum
Jing Xu, Sen Wang, Liwei Wang +1
Federated Learning is a distributed machine learning approach which enables model training without data sharing. In this paper, we propose a new federated learning algorithm, Feder…