Yang (Veronica) Liu
Yang (Veronica) Liu
Associate Professor at Tsinghua University
Verified email at - Homepage
Cited by
Cited by
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
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
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
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
A secure federated transfer learning framework
Y Liu, Y Kang, C Xing, T Chen, Q Yang
IEEE Intelligent Systems 35 (4), 70-82, 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
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
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
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
Low-temperature fluid-phase behavior of ST2 water
Y Liu, AZ Panagiotopoulos, PG Debenedetti
The Journal of Chemical Physics 131 (10), 104508, 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
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
Abnormal client behavior detection in federated learning
S Li, Y Cheng, Y Liu, W Wang, T Chen
FL-NeurIPS'19, 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
Federated transfer reinforcement learning for autonomous driving
X Liang, Y Liu, T Chen, M Liu, Q Yang
Federated and Transfer Learning, 357-371, 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
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
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
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
Federated learning for privacy-preserving AI
Y Cheng, Y Liu, T Chen, Q Yang
Communications of the ACM 63 (12), 33-36, 2020
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