185 citations · 185 across the 1 of their papers we have counts for
5 papers
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…
Understanding Architectures Learnt by Cell-based Neural Architecture Search
Yao Shu, Wei Wang, Shaofeng Cai
Neural architecture search (NAS) searches architectures automatically for given tasks, e.g., image classification and language modeling. Improving the search efficiency and effecti…
The Disruptions of 5G on Data-driven Technologies and Applications
Dumitrel Loghin, Shaofeng Cai, Gang Chen +12
With 5G on the verge of being adopted as the next mobile network, there is a need to analyze its impact on the landscape of computing and data management. In this paper, we analyze…
Effective and Efficient Dropout for Deep Convolutional Neural Networks
Shaofeng Cai, Yao Shu, Gang Chen +3
Convolutional Neural networks (CNNs) based applications have become ubiquitous, where proper regularization is greatly needed. To prevent large neural network models from overfitti…