95 citations · 192 across the 4 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…
DELTA: DEep Learning Transfer using Feature Map with Attention for Convolutional Networks
Xingjian Li, Haoyi Xiong, Hanchao Wang +4
Transfer learning through fine-tuning a pre-trained neural network with an extremely large dataset, such as ImageNet, can significantly accelerate training while the accuracy is fr…