3 papers
cs.CR2026
Practical Anonymous Two-Party Gradient Boosting Decision Tree
Chenyu Huang, Fan Zhang, Minxin Du +6
Structured data is well handled by gradient-boosted decision trees (GBDT), which are usually trained on vertically partitioned features across mutually distrustful parties. High sp…
cs.CR2026
Privacy-Preserving Screening for Record Linkage
Chenyu Huang, Fan Zhang, Huangxun Chen +4
In an era dominated by big data and machine learning, establishing valuable data collaboration has never been more critical. However, such collaborations must operate under regulat…
cs.DB2025
DataLab: A Unified Platform for LLM-Powered Business Intelligence
Luoxuan Weng, Yinghao Tang, Yingchaojie Feng +18
Business intelligence (BI) transforms large volumes of data within modern organizations into actionable insights for informed decision-making. Recently, large language model (LLM)-…