| 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 | 6182 | 2019 |
| Advances and open problems in federated learning P Kairouz, HB McMahan, B Avent, A Bellet, M Bennis, AN Bhagoji, ... Foundations and trends® in machine learning 14 (1–2), 1-210, 2021 | 5667 | 2021 |
| 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 | 662 | 2021 |
| {BatchCrypt}: Efficient homomorphic encryption for {Cross-Silo} federated learning C Zhang, S Li, J Xia, W Wang, F Yan, Y Liu 2020 USENIX annual technical conference (USENIX ATC 20), 493-506, 2020 | 656 | 2020 |
| A secure federated transfer learning framework Y Liu, Y Kang, C Xing, T Chen, Q Yang IEEE Intelligent Systems 35 (4), 70-82, 2020 | 630 | 2020 |
| 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 | 533 | 2014 |
| 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 | 405 | 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 | 308 | 2020 |
| 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 | 265 | 2021 |
| Learning to detect malicious clients for robust federated learning S Li, Y Cheng, W Wang, Y Liu, T Chen arXiv preprint arXiv:2002.00211, 2020 | 245 | 2020 |
| FedBCD: A communication-efficient collaborative learning framework for distributed features Y Liu, X Zhang, Y Kang, L Li, T Chen, M Hong, Q Yang IEEE Transactions on Signal Processing 70, 4277-4290, 2022 | 237* | 2022 |
| 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 | 236 | 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 | 194 | 2012 |
| Fate: An industrial grade platform for collaborative learning with data protection Y Liu, T Fan, T Chen, Q Xu, Q Yang Journal of Machine Learning Research 22 (226), 1-6, 2021 | 193 | 2021 |
| Low-temperature fluid-phase behavior of ST2 water Y Liu, AZ Panagiotopoulos, PG Debenedetti The Journal of Chemical Physics 131 (10), 2009 | 183 | 2009 |
| Abnormal client behavior detection in federated learning S Li, Y Cheng, Y Liu, W Wang, T Chen FL-NeurIPS'19, 2019 | 170 | 2019 |
| Federated learning for privacy-preserving AI Y Cheng, Y Liu, T Chen, Q Yang Communications of the ACM 63 (12), 33-36, 2020 | 138 | 2020 |
| Federated transfer reinforcement learning for autonomous driving X Liang, Y Liu, T Chen, M Liu, Q Yang Federated and Transfer Learning, 357-371, 2022 | 137 | 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 | 135 | 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 | 122 | 2019 |
Qiang Yang (杨强）Chief AI Officer@WeBank, Prof. Emeritus @HKUST, IJCAI President 2017-19, AAAI-21 General Chair在 cse.ust.hk 的电子邮件经过验证
