5 citations · 5 across the 2 of their papers we have counts for
2 papers
cs.LG2022★ 5 cited
OpBoost: A Vertical Federated Tree Boosting Framework Based on Order-Preserving Desensitization
Xiaochen Li, Yuke Hu, Weiran Liu +5
Vertical Federated Learning (FL) is a new paradigm that enables users with non-overlapping attributes of the same data samples to jointly train a model without directly sharing the…
cs.CR2020
Privacy Enhancement via Dummy Points in the Shuffle Model
Xiaochen Li, Weiran Liu, Hanwen Feng +4
The shuffle model is recently proposed to address the issue of severe utility loss in Local Differential Privacy (LDP) due to distributed data randomization.In the shuffle model, a…