1 citations · 2 across the 4 of their papers we have counts for
3 papers
cs.LG2022★ 1 cited
Differentially Private AUC Computation in Vertical Federated Learning
Jiankai Sun, Xin Yang, Yuanshun Yao +3
Federated learning has gained great attention recently as a privacy-enhancing tool to jointly train a machine learning model by multiple parties. As a sub-category, vertical federa…
cs.LG2022★ 17 cited
Differentially Private Label Protection in Split Learning
Xin Yang, Jiankai Sun, Yuanshun Yao +2
Split learning is a distributed training framework that allows multiple parties to jointly train a machine learning model over vertically partitioned data (partitioned by attribute…
cs.SI2012★ 1 cited
A Social Influence Model Based On Circuit Theory
Biao Xiang, Enhong Chen, Qi Liu +3
Understanding the behaviors of information propagation is essential for the effective exploitation of social influence in social networks. However, few existing influence models ar…