95 citations · 98 across the 3 of their papers we have counts for
4 papers
SecureGBM: Secure Multi-Party Gradient Boosting
Zhi Fengy, Haoyi Xiong, Chuanyuan Song +7
Federated machine learning systems have been widely used to facilitate the joint data analytics across the distributed datasets owned by the different parties that do not trust eac…
Parallel Distributed Logistic Regression for Vertical Federated Learning without Third-Party Coordinator
Shengwen Yang, Bing Ren, Xuhui Zhou +1
Federated Learning is a new distributed learning mechanism which allows model training on a large corpus of decentralized data owned by different data providers, without sharing or…
Multi-task Sentence Encoding Model for Semantic Retrieval in Question Answering Systems
Qiang Huang, Jianhui Bu, Weijian Xie +3
Question Answering (QA) systems are used to provide proper responses to users' questions automatically. Sentence matching is an essential task in the QA systems and is usually refo…
Deep Sequence Learning with Auxiliary Information for Traffic Prediction
Binbing Liao, Jingqing Zhang, Chao Wu +5
Predicting traffic conditions from online route queries is a challenging task as there are many complicated interactions over the roads and crowds involved. In this paper, we inten…