Dashan Gao

According to our database, Dashan Gao authored at least 8 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Secure Dataset Condensation for Privacy-Preserving and Efficient Vertical Federated Learning.

Dashan Gao, Canhui Wu, Xiaojin Zhang, Xin Yao, Qiang Yang

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2024

Label Privacy Source Coding in Vertical Federated Learning.

Dashan Gao, Sheng Wan, Hanlin Gu, Lixin Fan, Xin Yao, Qiang Yang

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2024

Complementary Knowledge Distillation for Robust and Privacy-Preserving Model Serving in Vertical Federated Learning.

Dashan Gao, Sheng Wan, Lixin Fan, Xin Yao, Qiang Yang

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2020

Privacy Threats Against Federated Matrix Factorization.

Dashan Gao, Ben Tan, Ce Ju, Vincent W. Zheng, Qiang Yang

CoRR, 2020

Privacy-Preserving Technology to Help Millions of People: Federated Prediction Model for Stroke Prevention.

Ce Ju, Ruihui Zhao, Jichao Sun, Xiguang Wei, Bo Zhao, Yang Liu, Hongshan Li, Tianjian Chen, Xinwei Zhang, Dashan Gao, Ben Tan, Han Yu, Yuan Jin

CoRR, 2020

Federated Transfer Learning for EEG Signal Classification.

Ce Ju, Dashan Gao, Ravikiran Mane, Ben Tan, Yang Liu, Cuntai Guan

Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

2019

HHHFL: Hierarchical Heterogeneous Horizontal Federated Learning for Electroencephalography.

Dashan Gao, Ce Ju, Xiguang Wei, Yang Liu, Tianjian Chen, Qiang Yang

CoRR, 2019

Privacy-preserving Heterogeneous Federated Transfer Learning.

Dashan Gao, Yang Liu, Anbu Huang, Ce Ju, Han Yu, Qiang Yang

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019