Zitao Li

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 27

Top Topics

Privacy Preservation

Learning Platform

Artificially Generated

Differential Privacy

Top Venues

Proc. VLDB Endow.

Publications

Yue Cui, Liuyi Yao, Zitao Li, Yaliang Li, Bolin Ding, Xiaofang Zhou
A Bargaining-based Approach for Feature Trading in Vertical Federated Learning. CoRR (2024)
Xiaoguang Li, Zitao Li, Ninghui Li, Wenhai Sun
On the Robustness of LDP Protocols for Numerical Attributes under Data Poisoning Attacks. CoRR (2024)
Fangyuan Zhao, Zitao Li, Xuebin Ren, Bolin Ding, Shusen Yang, Yaliang Li
VertiMRF: Differentially Private Vertical Federated Data Synthesis. KDD (2024)
Youbang Sun, Zitao Li, Yaliang Li, Bolin Ding
Improving LoRA in Privacy-preserving Federated Learning. CoRR (2024)
Youbang Sun, Zitao Li, Yaliang Li, Bolin Ding
Improving LoRA in Privacy-preserving Federated Learning. ICLR (2024)
Fangyuan Zhao, Zitao Li, Xuebin Ren, Bolin Ding, Shusen Yang, Yaliang Li
VertiMRF: Differentially Private Vertical Federated Data Synthesis. CoRR (2024)
Dawei Gao, Zitao Li, Weirui Kuang, Xuchen Pan, Daoyuan Chen, Zhijian Ma, Bingchen Qian, Liuyi Yao, Lin Zhu, Chen Cheng, Hongzhu Shi, Yaliang Li, Bolin Ding, Jingren Zhou
AgentScope: A Flexible yet Robust Multi-Agent Platform. CoRR (2024)
Feijie Wu, Zitao Li, Yaliang Li, Bolin Ding, Jing Gao
FedBiOT: LLM Local Fine-tuning in Federated Learning without Full Model. CoRR (2024)
Zitao Li, Bolin Ding, Liuyi Yao, Yaliang Li, Xiaokui Xiao, Jingren Zhou
Performance-Based Pricing of Federated Learning via Auction. Proc. VLDB Endow. 17 (6) (2024)
Feijie Wu, Zitao Li, Yaliang Li, Bolin Ding, Jing Gao
FedBiOT: LLM Local Fine-tuning in Federated Learning without Full Model. KDD (2024)
Weirui Kuang, Bingchen Qian, Zitao Li, Daoyuan Chen, Dawei Gao, Xuchen Pan, Yuexiang Xie, Yaliang Li, Bolin Ding, Jingren Zhou
FederatedScope-LLM: A Comprehensive Package for Fine-tuning Large Language Models in Federated Learning. KDD (2024)
Daoyuan Chen, Dawei Gao, Yuexiang Xie, Xuchen Pan, Zitao Li, Yaliang Li, Bolin Ding, Jingren Zhou
FS-REAL: Towards Real-World Cross-Device Federated Learning. KDD (2023)
Dawei Gao, Daoyuan Chen, Zitao Li, Yuexiang Xie, Xuchen Pan, Yaliang Li, Bolin Ding, Jingren Zhou
FS-Real: A Real-World Cross-Device Federated Learning Platform. Proc. VLDB Endow. 16 (12) (2023)
Weirui Kuang, Bingchen Qian, Zitao Li, Daoyuan Chen, Dawei Gao, Xuchen Pan, Yuexiang Xie, Yaliang Li, Bolin Ding, Jingren Zhou
FederatedScope-LLM: A Comprehensive Package for Fine-tuning Large Language Models in Federated Learning. CoRR (2023)
Daoyuan Chen, Dawei Gao, Yuexiang Xie, Xuchen Pan, Zitao Li, Yaliang Li, Bolin Ding, Jingren Zhou
FS-Real: Towards Real-World Cross-Device Federated Learning. CoRR (2023)
Zitao Li, Tianhao Wang, Ninghui Li
Differentially Private Vertical Federated Clustering. Proc. VLDB Endow. 16 (6) (2023)
Zitao Li, Tianhao Wang, Ninghui Li
Differentially Private Vertical Federated Clustering. CoRR (2022)
Zitao Li, Trung Dang, Tianhao Wang, Ninghui Li
MGD: A Utility Metric for Private Data Publication. NSysS (2021)
Zitao Li, Jean Honorio
Regularized Loss Minimizers with Local Data Perturbation: Consistency and Data Irrecoverability. ISIT (2021)
Zitao Li, Bolin Ding, Ce Zhang, Ninghui Li, Jingren Zhou
Federated Matrix Factorization with Privacy Guarantee. Proc. VLDB Endow. 15 (4) (2021)
Tianhao Wang, Milan Lopuhaä-Zwakenberg, Zitao Li, Boris Skoric, Ninghui Li
Locally Differentially Private Frequency Estimation with Consistency. NDSS (2020)
Milan Lopuhaä-Zwakenberg, Zitao Li, Boris Skoric, Ninghui Li
Improving Frequency Estimation under Local Differential Privacy. WPES@CCS (2020)
Zitao Li, Tianhao Wang, Milan Lopuhaä-Zwakenberg, Ninghui Li, Boris Skoric
Estimating Numerical Distributions under Local Differential Privacy. SIGMOD Conference (2020)
Zitao Li, Tianhao Wang, Milan Lopuhaä-Zwakenberg, Boris Skoric, Ninghui Li
Estimating Numerical Distributions under Local Differential Privacy. CoRR (2019)
Tianhao Wang, Zitao Li, Ninghui Li, Milan Lopuhaä-Zwakenberg, Boris Skoric
Consistent and Accurate Frequency Oracles under Local Differential Privacy. CoRR (2019)
Milan Lopuhaä-Zwakenberg, Zitao Li, Boris Skoric, Ninghui Li
Four accuracy bounds and one estimator for frequency estimation under local differential privacy. CoRR (2019)
Zitao Li, Jean Honorio
Regularized Loss Minimizers with Local Data Obfuscation. CoRR (2018)