Chen, Tianjian
WeBank, Shenzhen, China
11 papers on CoChatORCID 0000-0002-8479-2054
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
Federated Machine Learning: Concept and Applications
Yang, Q., Liu, Y., Chen, T., & Tong, Y. (2019) · arXiv
Privacy-Preserving Technologies in DataCryptography and Data Security
Cited by 600
- Verified
FedVision: An Online Visual Object Detection Platform Powered by Federated Learning
Liu, Y., Huang, A., Luo, Y., Huang, H., Liu, Y., Chen, Y., Feng, L., Chen, T., Yu, H., & Yang, Q. (2020) · Proceedings of the AAAI Conference on Artificial Intelligence
Privacy-Preserving Technologies in DataAdvanced Neural Network Applications
Cited by 310
- Verified
Federated Transfer Reinforcement Learning for Autonomous Driving
Liang, X., Liu, Y., Chen, T., Liu, M., & Yang, Q. (2019) · arXiv
Reinforcement Learning in RoboticsAutonomous Vehicle Technology and Safety
Cited by 131
- Verified
A sustainable incentive scheme for federated learning
Yu, H., Liu, Z., Liu, Y., Chen, T., Cong, M., Weng, X., Niyato, D., & Yang, Q. (2020) · IEEE Intelligent Systems
Privacy-Preserving Technologies in DataBlockchain Technology Applications and Security
Cited by 123
- Verified
Abnormal client behavior detection in federated learning
Li, S., Cheng, Y., Liu, Y., Wang, W., & Chen, T. (2019) · arXiv
Privacy-Preserving Technologies in DataAdversarial Robustness in Machine Learning
Cited by 122
- Verified
Backdoor attacks and defenses in feature-partitioned collaborative learning
Liu, Y., Yi, Z., & Chen, T. (2020) · arXiv
Adversarial Robustness in Machine LearningPrivacy-Preserving Technologies in Data
Cited by 38
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