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2020 – today
- 2023
[j1]Ye Dong
, Xiaojun Chen, Xiangfu Song, Kaiyun Li:
FlexBNN: Fast Private Binary Neural Network Inference With Flexible Bit-Width. IEEE Trans. Inf. Forensics Secur. 18: 2382-2397 (2023)- [c3]Ye Dong, Xiaojun Chen, Weizhan Jing, Kaiyun Li, Weiping Wang:
Meteor: Improved Secure 3-Party Neural Network Inference with Reducing Online Communication Costs. WWW 2023: 2087-2098 - [i3]Ye Dong, Xiaojun Chen, Weizhan Jing, Kaiyun Li, Weiping Wang:
Meteor: Improved Secure 3-Party Neural Network Inference with Reducing Online Communication Costs. IACR Cryptol. ePrint Arch. 2023: 100 (2023) - 2022
- [c2]Xiaoying Li, Xiaojun Chen, Shaopu Wang, Yangyang Ding, Kaiyun Li:
Multi-initial-Center Federated Learning with Data Distribution Similarity-Aware Constraint. ICA3PP 2022: 752-772 - 2021
- [c1]Ye Dong, Xiaojun Chen, Kaiyun Li, Dakui Wang, Shuai Zeng:
FLOD: Oblivious Defender for Private Byzantine-Robust Federated Learning with Dishonest-Majority. ESORICS (1) 2021: 497-518 - [i2]Kaiyun Li, Xiaojun Chen, Ye Dong, Peng Zhang, Dakui Wang, Shuai Zeng:
Efficient Byzantine-Resilient Stochastic Gradient Desce. CoRR abs/2108.06658 (2021) - [i1]Ye Dong, Xiaojun Chen, Kaiyun Li, Dakui Wang, Shuai Zeng:
FLOD: Oblivious Defender for Private Byzantine-Robust Federated Learning with Dishonest-Majority. IACR Cryptol. ePrint Arch. 2021: 993 (2021)
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