Liu, Yang
WeBank, Shenzhen, China
6 papers on CoChatORCID 0000-0003-3800-3533
Most cited papers
- Verified
Federated Machine Learning: Concept and Applications
Yang, Q., Liu, Y., Chen, T., & Tong, Y. (2019) · ACM Transactions on Intelligent Systems and Technology
Privacy-Preserving Technologies in DataCryptography and Data Security
Cited by 6,322
- Verified
SecureBoost: A Lossless Federated Learning Framework
Cheng, K., Fan, T., Jin, Y., Liu, Y., Chen, T., Papadopoulos, D., & Yang, Q. (2021) · IEEE Intelligent Systems
Privacy-Preserving Technologies in DataCryptography and Data Security
Cited by 669
- Verified
SecureBoost: A Lossless Federated Learning Framework
Cheng, K., Fan, T., Jin, Y., Liu, Y., Chen, T., Papadopoulos, D., & Yang, Q. (2019) · arXiv
Privacy-Preserving Technologies in DataCryptography and Data Security
Cited by 668
- Verified
A secure federated transfer learning framework
Liu, Y., Kang, Y., Xing, C., Chen, T., & Yang, Q. (2020) · IEEE Intelligent Systems
Privacy-Preserving Technologies in DataDomain Adaptation and Few-Shot Learning
Cited by 645
- Verified
Secure Federated Transfer Learning
Liu, Y., Kang, Y., Xing, C., Chen, T., & Yang, Q. (2018) · arXiv
Privacy-Preserving Technologies in DataDomain Adaptation and Few-Shot Learning
Cited by 645
- Verified
Cloud-based federated boosting for mobile crowdsensing
Wang, Z., Yang, Y., Liu, Y., Liu, X., Gupta, B. B., & Ma, J. (2020) · arXiv
Privacy-Preserving Technologies in DataCloud Data Security Solutions
Cited by 6
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