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2020 – today
- 2024
[j4]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): 1269-1282 (2024)- [c10]Youbang Sun, Zitao Li, Yaliang Li, Bolin Ding:
Improving LoRA in Privacy-preserving Federated Learning. ICLR 2024 - [c9]Feijie Wu
, Zitao Li, Yaliang Li, Bolin Ding, Jing Gao:
FedBiOT: LLM Local Fine-tuning in Federated Learning without Full Model. KDD 2024: 3345-3355 - [c8]Fangyuan Zhao, Zitao Li, Xuebin Ren, Bolin Ding, Shusen Yang, Yaliang Li:
VertiMRF: Differentially Private Vertical Federated Data Synthesis. KDD 2024: 4431-4442 - [c7]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: 5260-5271 - [i13]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 abs/2402.14034 (2024) - [i12]Yue Cui, Liuyi Yao, Zitao Li, Yaliang Li, Bolin Ding, Xiaofang Zhou:
A Bargaining-based Approach for Feature Trading in Vertical Federated Learning. CoRR abs/2402.15247 (2024) - [i11]Youbang Sun, Zitao Li, Yaliang Li, Bolin Ding:
Improving LoRA in Privacy-preserving Federated Learning. CoRR abs/2403.12313 (2024) - [i10]Xiaoguang Li, Zitao Li, Ninghui Li, Wenhai Sun:
On the Robustness of LDP Protocols for Numerical Attributes under Data Poisoning Attacks. CoRR abs/2403.19510 (2024) - [i9]Feijie Wu, Zitao Li, Yaliang Li, Bolin Ding, Jing Gao:
FedBiOT: LLM Local Fine-tuning in Federated Learning without Full Model. CoRR abs/2406.17706 (2024) - [i8]Fangyuan Zhao, Zitao Li, Xuebin Ren, Bolin Ding, Shusen Yang, Yaliang Li:
VertiMRF: Differentially Private Vertical Federated Data Synthesis. CoRR abs/2406.19008 (2024) - 2023
- [j3]Zitao Li, Tianhao Wang, Ninghui Li:
Differentially Private Vertical Federated Clustering. Proc. VLDB Endow. 16(6): 1277-1290 (2023) - [j2]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): 4046-4049 (2023) - [c6]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: 3829-3841 - [i7]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 abs/2303.13363 (2023) - [i6]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 abs/2309.00363 (2023) - 2022
- [i5]Zitao Li, Tianhao Wang, Ninghui Li:
Differentially Private Vertical Federated Clustering. CoRR abs/2208.01700 (2022) - 2021
- [j1]Zitao Li, Bolin Ding, Ce Zhang, Ninghui Li, Jingren Zhou:
Federated Matrix Factorization with Privacy Guarantee. Proc. VLDB Endow. 15(4): 900-913 (2021) - [c5]Zitao Li, Jean Honorio:
Regularized Loss Minimizers with Local Data Perturbation: Consistency and Data Irrecoverability. ISIT 2021: 1314-1319 - [c4]Zitao Li, Trung Dang, Tianhao Wang, Ninghui Li:
MGD: A Utility Metric for Private Data Publication. NSysS 2021: 106-119 - 2020
- [c3]Tianhao Wang, Milan Lopuhaä-Zwakenberg, Zitao Li, Boris Skoric, Ninghui Li:
Locally Differentially Private Frequency Estimation with Consistency. NDSS 2020 - [c2]Zitao Li, Tianhao Wang, Milan Lopuhaä-Zwakenberg, Ninghui Li, Boris Skoric:
Estimating Numerical Distributions under Local Differential Privacy. SIGMOD Conference 2020: 621-635 - [c1]Milan Lopuhaä-Zwakenberg, Zitao Li, Boris Skoric, Ninghui Li:
Improving Frequency Estimation under Local Differential Privacy. WPES@CCS 2020: 123-135
2010 – 2019
- 2019
- [i4]Tianhao Wang, Zitao Li, Ninghui Li, Milan Lopuhaä-Zwakenberg, Boris Skoric:
Consistent and Accurate Frequency Oracles under Local Differential Privacy. CoRR abs/1905.08320 (2019) - [i3]Milan Lopuhaä-Zwakenberg, Zitao Li, Boris Skoric, Ninghui Li:
Four accuracy bounds and one estimator for frequency estimation under local differential privacy. CoRR abs/1911.10499 (2019) - [i2]Zitao Li, Tianhao Wang, Milan Lopuhaä-Zwakenberg, Boris Skoric, Ninghui Li:
Estimating Numerical Distributions under Local Differential Privacy. CoRR abs/1912.01051 (2019) - 2018
- [i1]Zitao Li, Jean Honorio:
Regularized Loss Minimizers with Local Data Obfuscation. CoRR abs/1805.07645 (2018)
Coauthor Index
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