See my Google Scholar for most recent publications.
- 2020 -
[IAAI-AAAI‘20] Y Liu, A Huang, Y Luo, H Huang, Y Liu, Y Chen, L Feng, T Chen, H Yu and Q Yang, FedVision: Visual Object Detection powered by Federated Learning, Thirty-Second Annual Conference on Innovative Applications of Artificial Intelligence (IAAI-20) (Innovation Award)
[AIES-AAAI'20] H. Yu*, Z. Liu, Y. Liu*, T. Chen, M. Cong, X. Weng, D. Niyato & Q. Yang, A Fairness-aware Incentive Scheme for Federated Learning, Third AAAI/ACM Conference on Artifical Intelligence, Ethics and Society, NY, USA, 2020
[AAAI'20 PPAI workshop] S. Sharma, C. Xing, Y. Liu*, Privacy-Preserving Deep Learning via SPDZ, AAAI'20 workshop on Privacy-Preserving Artificial Intelligence (PPAI).
[IEEE EMBC 2020] C. Ju, D. GAO, R. Mane, B. TAN, Y. Liu*, C.Guan, Federated Transfer Learning for EEG Signal Classification.
[ECAI'20] A. Huang, Y Chen, Y. Liu*, T Chen and Q Yang, RPN: A Residual Pooling Network for Efficient Federated Learning.
[USENIX ATC '20] C. Zhang, S. Li, J. Xia, W Wang*, F Yan, Y. Liu*, BatchCrypt: Efficient Homomorphic Encryption for Cross-Silo Federated Learning
[IJCAI'20] K. L. Ng, Z. Chen, Z. Liu, H. Yu*, Y. Liu* & Q. Yang, "A Multi-player Game for Studying Federated Learning Incentive Schemes," in Proceedings of the 29th International Joint Conference on Artificial Intelligence (IJCAI'20), 2020.
[FL-ICML'20] Y.Liu, Z.Yi, T.Chen, "Backdoor attacks and defenses in feature-partitioned collaborative learning", 2020
- 2019 -
[IJCAI'19] H. Yu*, Y. Liu*, X. Wei, C. Zheng, T. Chen, Q. Yang & X. Peng. Fair and Explainable Dynamic Engagement of Crowd Workers. In Proceedings of the 28th International Joint Conference on Artificial Intelligence (IJCAI'19), (2019). (Innovation Award)
[IJCAI’19] X. Wei, Q. Li, Y. Liu*, H. Yu, T. Chen & Q. Yang. Multi-Agent Visualization for Explaining Federated Learning. In Proceedings of the 28th International Joint Conference on Artificial Intelligence (IJCAI’19), (2019).
[IJCAI’19] Q. Li, H. Lin, X. Wei, Y. Liu, R. Lin, H. Yu, T. Chen & Q. Yang. Learning Federated Learning. The 28th International Joint Conference on Artificial Intelligence (IJCAI’19), (2019). (Most Educational Video Award)
[IJCAI'19 FL workshop] Y. Liu, T. Chen & Q. Yang. Secure Federated Transfer Learning. IJCAI'19 Federated Learning Workshop (Oral Presentation), CoRR, arXiv:1812.03337.
[IJCAI'19 FL workshop] K. Cheng, T. Fan, Y. Jin, Y. Liu*, T. Chen, Q. Yang, SecureBoost: A Lossless Federated Learning Framework, IJCAI'19 Federated Learning Workshop (Oral Presentation). CoRR, arXiv: 1901.08755.
[Neurips'19 FL workshop] Y. Liu, Y. Kang, X. Zhang, L. Li, Y. Cheng, T. Chen, M. Hong, Q. Yang, Communication-Efficient Vertical Federated Learning, Neurips'19 Workshop on Federated Learning for Data Privacy and Confidentiality (Oral Presentation)
[Neurips'19 FL workshop] S. Li, Y. Cheng, Y. Liu, W. Wang, T.Chen, Abnormal Client Behavior Detection in Federated Learning, Neurips'19 Workshop on Federated Learning for Data Privacy and Confidentiality, CoRR, arXiv:1910.09933.
[Neurips'19 FL workshop] J. Luo, X. Wu, Y. Luo, A. Huang, Y. Huang, Y. Liu, Q. Yang, Real-World Image Datasets for Federated Learning, Neurips'19 Workshop on Federated Learning for Data Privacy and Confidentiality, CoRR, arXiv:1910.11089
[Neurips'19 FL workshop] D. Gao, C. Ju, X. Wei, Y. Liu, T. Chen, Q. Yang, HHHFL: Hierarchical Heterogeneous Horizontal Federated Learning for Electroencephalography, Neurips'19 Workshop on Federated Learning for Data Privacy and Confidentiality, CoRR, arXiv:1909.05784
[Neurips'19 FL workshop] M. Cong, Z. Ou, Y. Zhang, H. Yu, X. Weng, J. Qu, S. Yiu, Y. Liu and Q. Yang, Neural Network Optimization for a VCG-based Federated Learning Incentive Mechanism, Neurips'19 Workshop on Federated Learning for Data Privacy and Confidentiality
[IEEE BigData'19] S. Sharma, X. Chaoping, Y. Liu, and Y. Kang, Secure and Efficient Federated Transfer Learning, IEEE BigData Special Track on Federated Machine Learning, CoRR, arXiv:1910.13271
[IEEE BigData'19] D. Gao, Y. Liu, A. Huang, C. Ju, H. Yu, and Q.Yang, Secure Heterogeneous Federated transfer Learning, IEEE BigData Special Track on Federated Machine Learning.