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2020 – today
- 2024
[c3]Junxu Liu
, Jian Lou, Li Xiong, Jinfei Liu, Xiaofeng Meng:
Cross-silo Federated Learning with Record-level Personalized Differential Privacy. CCS 2024: 303-317- [d1]Junxu Liu, Jian Lou, Li Xiong, Jinfei Liu, Xiaofeng Meng:
Cross-silo Federated Learning with Record-level Personalized Differential Privacy. Zenodo, 2024
- [i1]Junxu Liu, Jian Lou, Li Xiong, Jinfei Liu, Xiaofeng Meng:
Cross-silo Federated Learning with Record-level Personalized Differential Privacy. CoRR abs/2401.16251 (2024) - 2023
- [c2]Junxu Liu, Jian Lou, Li Xiong, Xiaofeng Meng:
Personalized Differentially Private Federated Learning without Exposing Privacy Budgets. CIKM 2023: 4140-4144 - [c1]Junxu Liu, Mingsheng Xue, Jian Lou, Xiaoyu Zhang, Li Xiong, Zhan Qin:
MUter: Machine Unlearning on Adversarially Trained Models. ICCV 2023: 4869-4879 - 2021
- [j3]Jinfei Liu, Jian Lou, Junxu Liu, Li Xiong, Jian Pei, Jimeng Sun:
Dealer: An End-to-End Model Marketplace with Differential Privacy. Proc. VLDB Endow. 14(6): 957-969 (2021) - [j2]Jinfei Liu, Qiongqiong Lin, Jiayao Zhang, Kui Ren, Jian Lou, Junxu Liu, Li Xiong, Jian Pei, Jimeng Sun:
Demonstration of Dealer: An End-to-End Model Marketplace with Differential Privacy. Proc. VLDB Endow. 14(12): 2747-2750 (2021) - [j1]Junxu Liu, Jian Lou, Li Xiong, Jinfei Liu, Xiaofeng Meng:
Projected Federated Averaging with Heterogeneous Differential Privacy. Proc. VLDB Endow. 15(4): 828-840 (2021)
Coauthor Index
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