Publications
Selected Papers in Refereed Journals:
Federated Learning with Sparsified Model Perturbation: Improving Accuracy under Client-level Differential Privacy
R. Hu, Y. Gong, and Y. Guo
IEEE Transactions on Mobile Computing (TMC), 2023.
Personalized Federated Learning with Differential Privacy
R. Hu, Y. Guo, H. Li, Q. Pei, and Y. Gong
IEEE Internet of Things Journal (IoT-J), 2020.
Concentrated Differentially Private Federated Learning with Performance Analysis
R. Hu, Y. Guo and Y. Gong
IEEE Open Journal of the Computer Society (OJ-CS), 2021.
DP-ADMM: ADMM-based Distributed Learning with Differential Privacy
Z. Huang, R. Hu, Y. Guo, E. Chan-Tin, Y. Gong
IEEE Transactions on Information Forensics and Security (TIFS), 15, pp.1002-1012.
Selected Papers in Refereed Conferences:
Byzantine-Robust Federated Learning with Variance Reduction and Differential Privacy
Z. Zhang and R. Hu
IEEE Conference on Communications and Network Security (CNS), Orlando, FL, USA, Oct. 2-5, 2023
Agent-Level Differentially Private Federated Learning via Compressed Model Perturbation
Y. Guo, R. Hu, and Y. Gong
IEEE Conference on Communications and Network Security (CNS), Austin, TX, USA, Oct. 3-5, 2022
Hybrid Local SGD for Federated Learning with Heterogeneous Communications
Y. Guo, Y. Sun, R. Hu, and Y. Gong
International Conference on Learning Representations (ICLR), Virtual, Apr. 25-29, 2022.
Energy-Efficient Distributed Machine Learning at Wireless Edge with Device-to-Device Communication
R. Hu, Y. Guo, and Y. Gong
IEEE Global Communications Conference (ICC), Seoul, South Korea, May 16-20, 2022.
Federated Learning with Sparsification-Amplified Privacy and Adaptive Optimization
R. Hu, Y. Gong, and Y. Guo
International Joint Conference on Artificial Intelligence (IJCAI), Montreal-themed Virtual Reality, Aug. 21-26, 2021.
Trading Data For Learning: Incentive Mechanism For On-Device Federated Learning
R. Hu and Y. Gong
IEEE Global Communications Conference (GLOBECOM), Taipei, Taiwan, Dec. 7-11, 2020.
Certified Robustness of Graph Classification against Topology Attack with Randomized Smoothing
Z. Gao, R. Hu, and Y. Gong
IEEE Global Communications Conference (GLOBECOM), Taipei, Taiwan, Dec. 7-11, 2020.
Privacy-Preserving Personalized Federated Learning
R. Hu, Y. Guo, H. Li, Q. Pei, Y. Gong
IEEE Global Communications Conference (ICC), Dublin, Ireland, June 7-11 2020.
Targeted Poisoning Attacks on Social Recommender Systems
R. Hu, Y. Guo, M. Pan, Y. Gong
IEEE Global Communications Conference (GLOBECOM), Waikoloa, HI, USA, Dec. 9-13, 2019.
Secret Dispersion: Secure Data Delivery in Cyber Physical System (poster)
R. Hu and Y. Gong
IEEE Conference on Communications and Network Security (CNS), Beijing, China, May 30 - June 1, 2018.