| Federated machine learning: Concept and applications Q Yang, Y Liu, T Chen, Y Tong ACM Transactions on Intelligent Systems and Technology (TIST) 10 (2), 1-19, 2019 | 3959 | 2019 |
| Advances and open problems in federated learning P Kairouz, HB McMahan, B Avent, A Bellet, M Bennis, AN Bhagoji, ... Foundations and TrendsŪ in Machine Learning 14 (1–2), 1-210, 2021 | 3396 | 2021 |
| Metastable liquid–liquid transition in a molecular model of water JC Palmer, F Martelli, Y Liu, R Car, AZ Panagiotopoulos, PG Debenedetti Nature 510 (7505), 385-388, 2014 | 478 | 2014 |
| Secureboost: A lossless federated learning framework K Cheng, T Fan, Y Jin, Y Liu, T Chen, D Papadopoulos, Q Yang IEEE Intelligent Systems 36 (6), 87-98, 2021 | 415 | 2021 |
| A secure federated transfer learning framework Y Liu, Y Kang, C Xing, T Chen, Q Yang IEEE Intelligent Systems 35 (4), 70-82, 2020 | 391 | 2020 |
| Batchcrypt: Efficient homomorphic encryption for cross-silo federated learning C Zhang, S Li, J Xia, W Wang, F Yan, Y Liu Proceedings of the 2020 USENIX Annual Technical Conference (USENIX ATC 2020), 2020 | 347 | 2020 |
| Fedml: A research library and benchmark for federated machine learning C He, S Li, J So, X Zeng, M Zhang, H Wang, X Wang, P Vepakomma, ... arXiv preprint arXiv:2007.13518, 2020 | 228 | 2020 |
| Fedvision: An online visual object detection platform powered by federated learning Y Liu, A Huang, Y Luo, H Huang, Y Liu, Y Chen, L Feng, T Chen, H Yu, ... Proceedings of the AAAI Conference on Artificial Intelligence 34 (08), 13172 …, 2020 | 186 | 2020 |
| Liquid-liquid transition in ST2 water Y Liu, JC Palmer, AZ Panagiotopoulos, PG Debenedetti The Journal of Chemical Physics 137 (21), 214505-214505-10, 2012 | 178 | 2012 |
| Low-temperature fluid-phase behavior of ST2 water Y Liu, AZ Panagiotopoulos, PG Debenedetti The Journal of Chemical Physics 131 (10), 104508, 2009 | 171 | 2009 |
| FedPD: A federated learning framework with adaptivity to non-iid data X Zhang, M Hong, S Dhople, W Yin, Y Liu IEEE Transactions on Signal Processing 69, 6055-6070, 2021 | 142 | 2021 |
| A fairness-aware incentive scheme for federated learning H Yu, Z Liu, Y Liu, T Chen, M Cong, X Weng, D Niyato, Q Yang Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society, 393-399, 2020 | 131 | 2020 |
| Abnormal client behavior detection in federated learning S Li, Y Cheng, Y Liu, W Wang, T Chen FL-NeurIPS'19, 2019 | 110 | 2019 |
| 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 | 82 | 2019 |
| Federated transfer reinforcement learning for autonomous driving X Liang, Y Liu, T Chen, M Liu, Q Yang Federated and Transfer Learning, 357-371, 2022 | 78 | 2022 |
| 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 | 78 | 2020 |
| Real-world image datasets for federated learning J Luo, X Wu, Y Luo, A Huang, Y Huang, Y Liu, Q Yang arXiv preprint arXiv:1910.11089, 2019 | 77 | 2019 |
| A communication efficient vertical federated learning framework Y Liu, Y Kang, L Li, X Zhang, Y Cheng, T Chen, M Hong, Q Yang FL-NeurIPS'19, 2019 | 76 | 2019 |
| A sustainable incentive scheme for federated learning H Yu, Z Liu, Y Liu, T Chen, M Cong, X Weng, D Niyato, Q Yang IEEE Intelligent Systems 35 (4), 58-69, 2020 | 72 | 2020 |
| Federated learning for privacy-preserving AI Y Cheng, Y Liu, T Chen, Q Yang Communications of the ACM 63 (12), 33-36, 2020 | 69 | 2020 |
Qiang Yang (杨强）Chief AI Officer@WeBank, Chair Prof.@HKUST, IJCAI President 2017-19, AAAI-21 General ChairVerified email at cse.ust.hk
