66 citations · 132 across the 6 of their papers we have counts for
Showing 2021Show all
3 papers · 1 filter
cs.LG2021
Towards Explainable Multi-Party Learning: A Contrastive Knowledge Sharing Framework
Yuan Gao, Jiawei Li, Maoguo Gong +2
Multi-party learning provides solutions for training joint models with decentralized data under legal and practical constraints. However, traditional multi-party learning approache…
cs.LG2021
Multi-Party Dual Learning
Maoguo Gong, Yuan Gao, Yu Xie +3
The performance of machine learning algorithms heavily relies on the availability of a large amount of training data. However, in reality, data usually reside in distributed partie…
cs.MM2021★ 64 cited
An attention-based unsupervised adversarial model for movie review spam detection
Yuan Gao, Maoguo Gong, Yu Xie +1
With the prevalence of the Internet, online reviews have become a valuable information resource for people. However, the authenticity of online reviews remains a concern, and decep…