185 citations · 374 across the 23 of their papers we have counts for
3 papers · 1 filter
Privacy Preserving Vertical Federated Learning for Tree-based Models
Yuncheng Wu, Shaofeng Cai, Xiaokui Xiao +2
Federated learning (FL) is an emerging paradigm that enables multiple organizations to jointly train a model without revealing their private data to each other. This paper studies…
TRACER: A Framework for Facilitating Accurate and Interpretable Analytics for High Stakes Applications
Kaiping Zheng, Shaofeng Cai, Horng Ruey Chua +3
In high stakes applications such as healthcare and finance analytics, the interpretability of predictive models is required and necessary for domain practitioners to trust the pred…
GraphTCN: Spatio-Temporal Interaction Modeling for Human Trajectory Prediction
Chengxin Wang, Shaofeng Cai, Gary Tan
Predicting the future paths of an agent's neighbors accurately and in a timely manner is central to the autonomous applications for collision avoidance. Conventional approaches, e.…