Tacc: A full-stack cloud computing infrastructure for machine learning tasks K Xu, X Wan, H Wang, Z Ren, X Liao, D Sun, C Zeng, K Chen arXiv preprint arXiv:2110.01556, 2021 | 25 | 2021 |
Sphinx: Enabling privacy-preserving online learning over the cloud H Tian, C Zeng, Z Ren, D Chai, J Zhang, K Chen, Q Yang 2022 IEEE Symposium on Security and Privacy (SP), 2487-2501, 2022 | 24 | 2022 |
Improving availability of vertical federated learning: Relaxing inference on non-overlapping data Z Ren, L Yang, K Chen ACM Transactions on Intelligent Systems and Technology (TIST) 13 (4), 1-20, 2022 | 17 | 2022 |
Data resampling for federated learning with non-iid labels Z Tang, Z Hu, S Shi, Y Cheung, Y Jin, Z Ren, X Chu Proceedings of the International Workshop on Federated and Transfer Learning …, 2021 | 9 | 2021 |
Communication efficient secret sharing with dynamic communication-computation conversion Z Ren, X Cheng, M Fan, J Zhang, C Hong IEEE INFOCOM 2023-IEEE Conference on Computer Communications, 1-10, 2023 | 2 | 2023 |
Secure machine learning over relational data Q Luo, Y Wang, Z Ren, K Yi, K Chen, X Wang arXiv preprint arXiv:2109.14806, 2021 | 2 | 2021 |
VERTICES: Efficient Two-Party Vertical Federated Linear Model with TTP-aided Secret Sharing M Fan, Y Jin, L Yang, Z Ren, K Chen arXiv preprint arXiv:2306.16139, 2023 | 1 | 2023 |
Accelerating Secure Collaborative Machine Learning with Protocol-Aware RDMA Z Ren, M Fan, Z Wang, J Zhang, C Zeng, Z Huang, C Hong, K Chen | 1 | |