19 citations · 46 across the 10 of their papers we have counts for
6 papers · 1 filter
Differentially Private Federated Learning with Local Regularization and Sparsification
Anda Cheng, Peisong Wang, Xi Sheryl Zhang +1
User-level differential privacy (DP) provides certifiable privacy guarantees to the information that is specific to any user's data in federated learning. Existing methods that ens…
DPNAS: Neural Architecture Search for Deep Learning with Differential Privacy
Anda Cheng, Jiaxing Wang, Xi Sheryl Zhang +3
Training deep neural networks (DNNs) for meaningful differential privacy (DP) guarantees severely degrades model utility. In this paper, we demonstrate that the architecture of DNN…
MetaPred: Meta-Learning for Clinical Risk Prediction with Limited Patient Electronic Health Records
Xi Sheryl Zhang, Fengyi Tang, Hiroko Dodge +2
In recent years, increasingly augmentation of health data, such as patient Electronic Health Records (EHR), are becoming readily available. This provides an unprecedented opportuni…
Identifying Sub-Phenotypes of Acute Kidney Injury using Structured and Unstructured Electronic Health Record Data with Memory Networks
Zhenxing Xu, Jingyuan Chou, Xi Sheryl Zhang +10
Acute Kidney Injury (AKI) is a common clinical syndrome characterized by the rapid loss of kidney excretory function, which aggravates the clinical severity of other diseases in a…
Integrative Analysis of Patient Health Records and Neuroimages via Memory-based Graph Convolutional Network
Xi Sheryl Zhang, Jingyuan Chou, Fei Wang
With the arrival of the big data era, more and more data are becoming readily available in various real-world applications and those data are usually highly heterogeneous. Taking c…
A Multi-View Ensemble Classification Model for Clinically Actionable Genetic Mutations
Xi Sheryl Zhang, Dandi Chen, Yongjun Zhu +5
This paper presents details of our winning solutions to the task IV of NIPS 2017 Competition Track entitled Classifying Clinically Actionable Genetic Mutations. The machine learnin…