4 papers
Differentially private hypothesis testing in survival analysis
Elly K. H. Hung, Yi Yu
Survival analysis is widely used in applications involving sensitive individual-level data, yet differentially private hypothesis testing for right-censored data remains largely un…
Federated fairness-aware classification under differential privacy
Gengyu Xue, Yi Yu
Privacy and algorithmic fairness have become two central issues in modern machine learning. Although each has separately emerged as a rapidly growing research area, their joint eff…
Optimal estimation in private distributed functional data analysis
Gengyu Xue, Zhenhua Lin, Yi Yu
We systematically investigate the preservation of differential privacy in functional data analysis, beginning with functional mean estimation and extending to varying coefficient m…
Fairness-aware Bayes optimal functional classification
Xiaoyu Hu, Gengyu Xue, Zhenhua Lin +1
Algorithmic fairness has become a central topic in machine learning, and mitigating disparities across different subpopulations has emerged as a rapidly growing research area. In t…