Privacy-preserving Heterogeneous Federated Transfer Learning. - Dashan Gao 002; Yang Liu 165; Anbu Huang; Ce Ju; Han Yu 001; Qiang Yang 001 (IEEE BigData, 2019)

HHHFL: Hierarchical Heterogeneous Horizontal Federated Learning for Electroencephalography. - Dashan Gao 002; Ce Ju; Xiguang Wei; Yang Liu 165; Tianjian Chen; Qiang Yang 001 (CoRR, 2019)

Federated Transfer Learning for EEG Signal Classification. - Ce Ju; Dashan Gao 002; Ravikiran Mane; Ben Tan; Yang Liu 165; Cuntai Guan (EMBC, 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 165; Hongshan Li; Tianjian Chen; Xinwei Zhang 001; Dashan Gao 002; Ben Tan; Han Yu 001; et al. (CoRR, 2020)

Privacy Threats Against Federated Matrix Factorization. - Dashan Gao 002; Ben Tan; Ce Ju; Vincent W. Zheng; Qiang Yang 001 (CoRR, 2020)

Complementary Knowledge Distillation for Robust and Privacy-Preserving Model Serving in Vertical Federated Learning. - Dashan Gao 002; Sheng Wan; Lixin Fan; Xin Yao; Qiang Yang 001 (AAAI, 2024)

Label Privacy Source Coding in Vertical Federated Learning. - Dashan Gao 002; Sheng Wan; Hanlin Gu; Lixin Fan; Xin Yao; Qiang Yang 001 (ECML/PKDD (1), 2024)

Secure Dataset Condensation for Privacy-Preserving and Efficient Vertical Federated Learning. - Dashan Gao 002; Canhui Wu; Xiaojin Zhang 002; Xin Yao; Qiang Yang 001 (ECML/PKDD (1), 2024)