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stat.ME2026
Asymptotic Anytime-Valid Quantile Inference under Local Differential Privacy
Leheng Cai, Qirui Hu, Shuyuan Wu
Sequential quantile inference is difficult under local differential privacy because every record is randomized before reaching the analyst and the limiting quantile variance depend…
stat.ME2026
High-Dimensional Assisted Learning for Vertically Distributed Data with Blockwise Missingness
Yuwen Long, Shuyuan Wu, Yin Xia
In multi-institutional studies, different parties hold distinct feature blocks for partially overlapping sets of individuals. Responses may also be missing for some records. In suc…