Zitao Li
Zitao Li
Institute for Intelligent Computing, Alibaba
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Estimating numerical distributions under local differential privacy
Z Li, T Wang, M Lopuhaš-Zwakenberg, N Li, B ©koric
Proceedings of the 2020 ACM SIGMOD International Conference on Management of†…, 2020
Locally differentially private frequency estimation with consistency
T Wang, M Lopuhaš-Zwakenberg, Z Li, B Skoric, N Li
Network and Distributed System Security Symposium (NDSS) 2020, 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
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
Differentially private vertical federated clustering
Z Li, T Wang, N Li
Proceedings of the VLDB Endowment 16 (6), 1277 - 1290, 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
Improving loRA in privacy-preserving federated learning
Y Sun, Z Li, Y Li, B Ding
The Twelfth International Conference on Learning Representations (ICLR2024), 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
Improving Frequency Estimation under Local Differential Privacy
M Lopuhaš-Zwakenberg, Z Li, B ? kori?, N Li
Proceedings of the 19th Workshop on Privacy in the Electronic Society, 123-135, 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
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
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
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
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
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
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
Firecommendation method, device, and system for distributed privacy-preserving learning
J Zhou, B Ding, Z Li
US Patent App. 17/993,832, 2023
Differential Privacy in Distributed Settings
Z Li
Purdue University, 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
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