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2020 – today
- 2024
[i7]Hanlin Gu, Jiahuan Luo, Yan Kang, Yuan Yao, Gongxi Zhu, Bowen Li, Lixin Fan, Qiang Yang:
FedAdOb: Privacy-Preserving Federated Deep Learning with Adaptive Obfuscation. CoRR abs/2406.01085 (2024)- 2023
- [c2]Hanlin Gu, Jiahuan Luo, Yan Kang, Lixin Fan, Qiang Yang:
FedPass: Privacy-Preserving Vertical Federated Deep Learning with Adaptive Obfuscation. IJCAI 2023: 3759-3767 - [i6]Hanlin Gu, Jiahuan Luo, Yan Kang, Lixin Fan, Qiang Yang:
FedPass: Privacy-Preserving Vertical Federated Deep Learning with Adaptive Obfuscation. CoRR abs/2301.12623 (2023) - 2022
- [c1]Yuezhou Wu, Yan Kang, Jiahuan Luo, Yuanqin He, Lixin Fan, Rong Pan, Qiang Yang:
FedCG: Leverage Conditional GAN for Protecting Privacy and Maintaining Competitive Performance in Federated Learning. IJCAI 2022: 2334-2340 - [i5]Yuanqin He, Yan Kang, Jiahuan Luo, Lixin Fan, Qiang Yang:
A Hybrid Self-Supervised Learning Framework for Vertical Federated Learning. CoRR abs/2208.08934 (2022) - [i4]Yan Kang, Jiahuan Luo, Yuanqin He, Xiaojin Zhang, Lixin Fan, Qiang Yang:
A Framework for Evaluating Privacy-Utility Trade-off in Vertical Federated Learning. CoRR abs/2209.03885 (2022) - 2021
- [i3]Xinle Liang, Yang Liu, Jiahuan Luo, Yuanqin He, Tianjian Chen, Qiang Yang:
Self-supervised Cross-silo Federated Neural Architecture Search. CoRR abs/2101.11896 (2021) - [i2]Yuezhou Wu, Yan Kang, Jiahuan Luo, Yuanqin He, Qiang Yang:
FedCG: Leverage Conditional GAN for Protecting Privacy and Maintaining Competitive Performance in Federated Learning. CoRR abs/2111.08211 (2021)
2010 – 2019
- 2019
- [i1]Jiahuan Luo, Xueyang Wu, Yun Luo, Anbu Huang, Yunfeng Huang, Yang Liu, Qiang Yang:
Real-World Image Datasets for Federated Learning. CoRR abs/1910.11089 (2019) - 2017
- [j1]Zhengsong Wang, Dakuo He
, Xu Zhu, Jiahuan Luo, Yu Liang, Xu Wang:
Data-Driven Model-Free Adaptive Control of Particle Quality in Drug Development Phase of Spray Fluidized-Bed Granulation Process. Complex. 2017: 4960106:1-4960106:17 (2017)
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