| Estimating numerical distributions under local differential privacy Z Li, T Wang, M Lopuhaä-Zwakenberg, N Li, B Škoric Proceedings of the 2020 ACM SIGMOD International Conference on Management of …, 2020 | 90 | 2020 |
| Locally differentially private frequency estimation with consistency T Wang, M Lopuhaä-Zwakenberg, Z Li, B Skoric, N Li Network and Distributed System Security Symposium (NDSS) 2020, 2020 | 79* | 2020 |
| FederatedScope-LLM: A Comprehensive Package for Fine-tuning Large Language Models in Federated Learning W Kuang, B Qian, Z Li, D Chen, D Gao, X Pan, Y Xie, Y Li, B Ding, J Zhou arXiv preprint arXiv:2309.00363, 2023 | 37 | 2023 |
| Federated matrix factorization with privacy guarantee Z Li, B Ding, C Zhang, N Li, J Zhou Proceedings of the VLDB Endowment 15 (4), 900-913, 2021 | 34 | 2021 |
| Differentially private vertical federated clustering Z Li, T Wang, N Li Proceedings of the VLDB Endowment 16 (6), 1277 - 1290, 2022 | 15 | 2022 |
| FS-REAL: Towards real-world cross-device federated learning D Chen, D Gao, Y Xie, X Pan, Z Li, Y Li, B Ding, J Zhou Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023 | 14 | 2023 |
| Improving LoRA in privacy-preserving federated learning Y Sun, Z Li, Y Li, B Ding The Twelfth International Conference on Learning Representations (ICLR2024), 2024 | 8 | 2024 |
| FS-Real: A Real-World Cross-Device Federated Learning Platform D Gao, D Chen, Z Li, Y Xie, X Pan, Y Li, B Ding, J Zhou Proceedings of the VLDB Endowment 16 (12), 4046-4049, 2023 | 5 | 2023 |
| Improving Frequency Estimation under Local Differential Privacy M Lopuhaä-Zwakenberg, Z Li, B ? kori?, N Li Proceedings of the 19th Workshop on Privacy in the Electronic Society, 123-135, 2020 | 4 | 2020 |
| MGD: a utility metric for private data publication Z Li, T Dang, T Wang, N Li Proceedings of the 8th International Conference on Networking, Systems and …, 2021 | 3 | 2021 |
| AgentScope: A Flexible yet Robust Multi-Agent Platform D Gao, Z Li, W Kuang, X Pan, D Chen, Z Ma, B Qian, L Yao, L Zhu, ... arXiv preprint arXiv:2402.14034, 2024 | 1 | 2024 |
| Performance-Based Pricing for Federated Learning via Auction Z Li, B Ding, L Yao, Y Li, X Xiao, J Zhou Proceedings of the VLDB Endowment 17 (6), 1269-1282, 2024 | 1 | 2024 |
| VertiMRF: Differentially Private Vertical Federated Data Synthesis F Zhao, Z Li, X Ren, B Ding, S Yang, Y Li arXiv preprint arXiv:2406.19008, 2024 | | 2024 |
| FedBiOT: LLM Local Fine-tuning in Federated Learning without Full Model F Wu, Z Li, Y Li, B Ding, J Gao arXiv preprint arXiv:2406.17706, 2024 | | 2024 |
| On the Robustness of LDP Protocols for Numerical Attributes under Data Poisoning Attacks X Li, Z Li, N Li, W Sun arXiv preprint arXiv:2403.19510, 2024 | | 2024 |
| Item Recommendation Method and Device for Protecting User Privacy and Learning System J Zhou, B Ding, Z Li US Patent App. 17/989,683, 2023 | | 2023 |
| Firecommendation method, device, and system for distributed privacy-preserving learning J Zhou, B Ding, Z Li US Patent App. 17/993,832, 2023 | | 2023 |
| Differential Privacy in Distributed Settings Z Li Purdue University, 2022 | | 2022 |
| Regularized Loss Minimizers with Local Data Perturbation: Consistency and Data Irrecoverability Z Li, J Honorio 2021 IEEE International Symposium on Information Theory (ISIT), 1314-1319, 2021 | | 2021 |
Ninghui LiProfessor of Computer Science, Purdue UniversityVerified email at cs.purdue.edu
