Xue Yang

发表

An Accuracy-Lossless Perturbation Method for Defending Privacy Attacks in Federated Learning

Xue Yang, Yan Feng, Weijun Fang, 2020, WWW.

A Fine-Grained Differentially Private Federated Learning Against Leakage From Gradients

Xue Yang, Rongxing Lu, Shutao Xia, 2022, IEEE Internet of Things Journal.

Achieving Efficient and Privacy-Preserving Cross-Domain Big Data Deduplication in Cloud

Xiaohu Tang, Kim-Kwang Raymond Choo, Rongxing Lu, 2017, IEEE Transactions on Big Data.

A Practical Privacy-preserving Method in Federated Deep Learning.

Shu-Tao Xia, Xue Yang, Xiaohu Tang, 2020 .

Practical and Bilateral Privacy-preserving Federated Learning

Xue Yang, Yan Feng, Xiaohu Tang, 2020, ArXiv.

A Fine-Grained and Privacy-Preserving Query Scheme for Fog Computing-Enhanced Location-Based Service

Xiaohu Tang, Xue Yang, Fan Yin, 2017, Sensors.

Achieving Efficient and Privacy-Preserving Multi-Domain Big Data Deduplication in Cloud

Xiaohu Tang, Ali A. Ghorbani, Rongxing Lu, 2018, IEEE Transactions on Services Computing.

An Efficient and Privacy-Preserving Disease Risk Prediction Scheme for E-Healthcare

Xiaohu Tang, Rongxing Lu, Haomiao Yang, 2019, IEEE Internet of Things Journal.

GDST: Global Distillation Self-Training for Semi-Supervised Federated Learning

Xue Yang, Shutao Xia, Yong Jiang, 2021, Global Communications Conference.

Practical and Bilateral Privacy-preserving Federated Learning pdf

Shu-Tao Xia, Yan Feng, Xue Yang, 2020, ArXiv.

SDCN: Sparsity and Diversity Driven Correlation Networks for Traffic Demand Forecasting

Shutao Xia, Xue Yang, Xiaohu Tang, 2020, 2020 International Joint Conference on Neural Networks (IJCNN).

Achieving Efficient and Privacy-Preserving Cross-Domain Big Data Deduplication in Cloud

Kim-Kwang Raymond Choo, V. Keerthana, Xue Yang, 2017, IEEE Transactions on Big Data.

An Efficient Virtual Data Generation Method for Reducing Communication in Federated Learning

Xue Yang, Xiaohu Tang, Dongxian Wu, 2023, ArXiv.