315 citations · 1.5k across the 58 of their papers we have counts for
Showing cs.LGShow all
2 papers · 1 filter
cs.LG2022★ 4 cited
Game of Privacy: Towards Better Federated Platform Collaboration under Privacy Restriction
Chuhan Wu, Fangzhao Wu, Tao Qi +4
Vertical federated learning (VFL) aims to train models from cross-silo data with different feature spaces stored on different platforms. Existing VFL methods usually assume all dat…
cs.LG2021★ 14 cited
Rethinking InfoNCE: How Many Negative Samples Do You Need?
Chuhan Wu, Fangzhao Wu, Yongfeng Huang
InfoNCE loss is a widely used loss function for contrastive model training. It aims to estimate the mutual information between a pair of variables by discriminating between each po…