| Federated Transfer Learning for EEG Signal Classification C Ju, D Gao, R Mane, B Tan, Y Liu, C Guan 2020 42nd Annual International Conference of the IEEE Engineering in …, 2020 | 125 | 2020 |
| Privacy-Preserving Heterogeneous Federated Transfer Learning D Gao, Y Liu, A Huang, C Ju, H Yu, Q Yang 2019 IEEE international conference on big data (Big Data), 2552-2559, 2019 | 115 | 2019 |
| HHHFL: Hierarchical Heterogeneous Horizontal Federated Learning for Electroencephalography D Gao, C Ju, X Wei, Y Liu, T Chen, Q Yang FL-NeurIPS 2019 : The 2nd International Workshop on Federated Learning for …, 2019 | 99 | 2019 |
| A Survey on Heterogeneous Federated Learning D Gao, X Yao, Q Yang arXiv preprint arXiv:2210.04505, 2022 | 38 | 2022 |
| Privacy-preserving technology to help millions of people: Federated prediction model for stroke prevention C Ju, R Zhao, J Sun, X Wei, B Zhao, Y Liu, H Li, T Chen, X Zhang, D Gao, ... IJCAI 2020 Workshop on Federated Learning for Data Privacy and …, 2020 | 35 | 2020 |
| Privacy Threats Against Federated Matrix Factorization D Gao, B Tan, C Ju, VW Zheng, Q Yang IJCAI 2020 Workshop on Federated Learning for Data Privacy and …, 2020 | 20 | 2020 |
| FedPDD: A Privacy-preserving Double Distillation Framework for Cross-silo Federated Recommendation S Wan, D Gao, H Gu, D Hu International Joint Conference on Neural Networks (IJCNN 2023), 2023 | 3 | 2023 |
| Complementary Knowledge Distillation for Robust and Privacy-Preserving Model Serving in Vertical Federated Learning D Gao, S Wan, L Fan, X Yao, Q Yang The 38th Annual AAAI Conference on Artificial Intelligence (AAAI 2024), 2024 | | 2024 |
| Robust Deep Learning Models Against Semantic-Preserving Adversarial Attack D Gao, Y Zhao, Y Yao, Z Zhang, B Mao, X Yao International Joint Conference on Neural Networks (IJCNN 2023), 2023 | | 2023 |
| Federated Factorization Machine for Secure Recommendation with Sparse Data D Gao, B Tan, C Ju, V Zheng, Q Yang AAAI 2021 Workshop: Towards Robust, Secure and Efficient Machine Learning …, 2020 | | 2020 |
| Quantifying and Defending against the Privacy Risk in Logit-based Federated Learning S Wan, D Gao, H Gu, L Fan, Q Yang | | |
| Label Privacy Source Coding in Vertical Federated Learning D Gao, S Wan, H Gu, L Fan, X Yao, Q Yang | | |
Qiang Yang (杨强）Chief AI Officer@WeBank, Prof. Emeritus @HKUST, IJCAI President 2017-19, AAAI-21 General ChairVerified email at cse.ust.hk
