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Rui Hu 0005
Person information
- affiliation: University of Texas at San Antonio, San Antonio, TX, USA
- affiliation (former): Jinan University, Guangzhou, China
Other persons with the same name
- Rui Hu — disambiguation page
- Rui Hu 0001 — Waabi (and 1 more)
- Rui Hu 0002 — University of Houston, TX, USA
- Rui Hu 0003 — University of Delaware, USA
- Rui Hu 0004 — University of Rochester, Rochester, NY, USA
- Rui Hu 0006 — Beijing Institute of Technology, Beijing, China
- Rui Hu 0007 — University of Surrey, Centre for Vision, Speech and Signal Processing, CVSSP, UK
- Rui Hu 0008 — South China University of Technology, School of Electronic and Information Engineering, Guangzhou, China
- Rui Hu 0009 — Qualcomm Technologies Inc., Wireless R&D department, Beijing, China (and 2 more)
- Rui Hu 0010 — École Polytechnique Fédérale de Lausanne, EPFL, Idiap Research Institute, Switzerland
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Journal Articles
- 2024
- [j4]Rui Hu, Yuanxiong Guo, Yanmin Gong:
Federated Learning With Sparsified Model Perturbation: Improving Accuracy Under Client-Level Differential Privacy. IEEE Trans. Mob. Comput. 23(8): 8242-8255 (2024) - 2021
- [j3]Rui Hu, Yuanxiong Guo, Yanmin Gong:
Concentrated Differentially Private Federated Learning With Performance Analysis. IEEE Open J. Comput. Soc. 2: 276-289 (2021) - 2020
- [j2]Rui Hu, Yuanxiong Guo, Hongning Li, Qingqi Pei, Yanmin Gong:
Personalized Federated Learning With Differential Privacy. IEEE Internet Things J. 7(10): 9530-9539 (2020) - [j1]Zonghao Huang, Rui Hu, Yuanxiong Guo, Eric Chan-Tin, Yanmin Gong:
DP-ADMM: ADMM-Based Distributed Learning With Differential Privacy. IEEE Trans. Inf. Forensics Secur. 15: 1002-1012 (2020)
Conference and Workshop Papers
- 2022
- [c9]Yuanxiong Guo, Rui Hu, Yanmin Gong:
Agent-Level Differentially Private Federated Learning via Compressed Model Perturbation. CNS 2022: 127-135 - [c8]Rui Hu, Yuanxiong Guo, Yanmin Gong:
Energy-Efficient Distributed Machine Learning at Wireless Edge with Device-to-Device Communication. ICC 2022: 5208-5213 - [c7]Yuanxiong Guo, Ying Sun, Rui Hu, Yanmin Gong:
Hybrid Local SGD for Federated Learning with Heterogeneous Communications. ICLR 2022 - 2021
- [c6]Rui Hu, Yanmin Gong, Yuanxiong Guo:
Federated Learning with Sparsification-Amplified Privacy and Adaptive Optimization. IJCAI 2021: 1463-1469 - 2020
- [c5]Zhidong Gao, Rui Hu, Yanmin Gong:
Certified Robustness of Graph Classification against Topology Attack with Randomized Smoothing. GLOBECOM 2020: 1-6 - [c4]Rui Hu, Yanmin Gong:
Trading Data For Learning: Incentive Mechanism For On-Device Federated Learning. GLOBECOM 2020: 1-6 - [c3]Rui Hu, Yuanxiong Guo, Hongning Li, Qingqi Pei, Yanmin Gong:
Privacy-Preserving Personalized Federated Learning. ICC 2020: 1-6 - 2019
- [c2]Rui Hu, Yuanxiong Guo, Miao Pan, Yanmin Gong:
Targeted Poisoning Attacks on Social Recommender Systems. GLOBECOM 2019: 1-6 - 2018
- [c1]Rui Hu, Yanmin Gong:
Secret Dispersion: Secure Data Delivery in Cyber Physical System. CNS 2018: 1-2
Informal and Other Publications
- 2022
- [i7]Rui Hu, Yanmin Gong, Yuanxiong Guo:
Federated Learning with Sparsified Model Perturbation: Improving Accuracy under Client-Level Differential Privacy. CoRR abs/2202.07178 (2022) - 2020
- [i6]Rui Hu, Yuanxiong Guo, E. Paul Ratazzi, Yanmin Gong:
Differentially Private Federated Learning for Resource-Constrained Internet of Things. CoRR abs/2003.12705 (2020) - [i5]Rui Hu, Yanmin Gong, Yuanxiong Guo:
CPFed: Communication-Efficient and Privacy-Preserving Federated Learning. CoRR abs/2003.13761 (2020) - [i4]Rui Hu, Yanmin Gong, Yuanxiong Guo:
Sparsified Privacy-Masking for Communication-Efficient and Privacy-Preserving Federated Learning. CoRR abs/2008.01558 (2020) - [i3]Rui Hu, Yanmin Gong:
Trading Data For Learning: Incentive Mechanism For On-Device Federated Learning. CoRR abs/2009.05604 (2020) - [i2]Zhidong Gao, Rui Hu, Yanmin Gong:
Certified Robustness of Graph Classification against Topology Attack with Randomized Smoothing. CoRR abs/2009.05872 (2020) - 2018
- [i1]Zonghao Huang, Rui Hu, Eric Chan-Tin, Yanmin Gong:
DP-ADMM: ADMM-based Distributed Learning with Differential Privacy. CoRR abs/1808.10101 (2018)
Coauthor Index
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