Rui Hu

According to our database, Rui Hu authored at least 25 papers between 2018 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Fed-HeLLo: Efficient Federated Foundation Model Fine-Tuning With Heterogeneous LoRA Allocation.

Zikai Zhang, Ping Liu, Jiahao Xu, Rui Hu

IEEE Trans. Neural Networks Learn. Syst., October, 2025

FlowerTune: A Cross-Domain Benchmark for Federated Fine-Tuning of Large Language Models.

Yan Gao, Massimo Roberto Scamarcia, Javier Fernández-Marqués, Mohammad Naseri, Chong Shen Ng, Dimitris Stripelis, Zexi Li, Tao Shen, Jiamu Bai, Daoyuan Chen, Zikai Zhang, Rui Hu, Inseo Song, Lee KangYoon, Hong Jia, Ting Dang, Junyan Wang, Zheyuan Liu, Daniel J. Beutel, Lingjuan Lyu, Nicholas D. Lane

CoRR, June, 2025

Traceable Black-box Watermarks for Federated Learning.

Jiahao Xu, Rui Hu, Olivera Kotevska, Zikai Zhang

CoRR, May, 2025

Detecting Backdoor Attacks in Federated Learning via Direction Alignment Inspection.

Jiahao Xu, Zikai Zhang, Rui Hu

CoRR, March, 2025

Identify Backdoored Model in Federated Learning via Individual Unlearning.

Jiahao Xu, Zikai Zhang, Rui Hu

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2025

Achieving Byzantine-Resilient Federated Learning via Layer-Adaptive Sparsified Model Aggregation.

Jiahao Xu, Zikai Zhang, Rui Hu

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2025

2024

Federated Learning With Sparsified Model Perturbation: Improving Accuracy Under Client-Level Differential Privacy.

Rui Hu, Yuanxiong Guo, Yanmin Gong

IEEE Trans. Mob. Comput., August, 2024

Fed-piLot: Optimizing LoRA Assignment for Efficient Federated Foundation Model Fine-Tuning.

Zikai Zhang, Jiahao Xu, Ping Liu, Rui Hu

CoRR, 2024

2023

Byzantine-Robust Federated Learning with Variance Reduction and Differential Privacy.

Zikai Zhang, Rui Hu

Proceedings of the IEEE Conference on Communications and Network Security, 2023

2022

Hybrid Local SGD for Federated Learning with Heterogeneous Communications.

Yuanxiong Guo, Ying Sun, Rui Hu, Yanmin Gong

Proceedings of the Tenth International Conference on Learning Representations, 2022

Energy-Efficient Distributed Machine Learning at Wireless Edge with Device-to-Device Communication.

Rui Hu, Yuanxiong Guo, Yanmin Gong

Proceedings of the IEEE International Conference on Communications, 2022

Agent-Level Differentially Private Federated Learning via Compressed Model Perturbation.

Yuanxiong Guo, Rui Hu, Yanmin Gong

Proceedings of the 10th IEEE Conference on Communications and Network Security, 2022

2021

Concentrated Differentially Private Federated Learning With Performance Analysis.

Rui Hu, Yuanxiong Guo, Yanmin Gong

IEEE Open J. Comput. Soc., 2021

Federated Learning with Sparsification-Amplified Privacy and Adaptive Optimization.

Rui Hu, Yanmin Gong, Yuanxiong Guo

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

2020

DP-ADMM: ADMM-Based Distributed Learning With Differential Privacy.

Zonghao Huang, Rui Hu, Yuanxiong Guo, Eric Chan-Tin, Yanmin Gong

IEEE Trans. Inf. Forensics Secur., 2020

Personalized Federated Learning With Differential Privacy.

Rui Hu, Yuanxiong Guo, Hongning Li, Qingqi Pei, Yanmin Gong

IEEE Internet Things J., 2020

Sparsified Privacy-Masking for Communication-Efficient and Privacy-Preserving Federated Learning.

Rui Hu, Yanmin Gong, Yuanxiong Guo

CoRR, 2020

CPFed: Communication-Efficient and Privacy-Preserving Federated Learning.

Rui Hu, Yanmin Gong, Yuanxiong Guo

CoRR, 2020

Differentially Private Federated Learning for Resource-Constrained Internet of Things.

Rui Hu, Yuanxiong Guo, E. Paul Ratazzi, Yanmin Gong

CoRR, 2020

Privacy-Preserving Personalized Federated Learning.

Rui Hu, Yuanxiong Guo, Hongning Li, Qingqi Pei, Yanmin Gong

Proceedings of the 2020 IEEE International Conference on Communications, 2020

Trading Data For Learning: Incentive Mechanism For On-Device Federated Learning.

Rui Hu, Yanmin Gong

Proceedings of the IEEE Global Communications Conference, 2020

Certified Robustness of Graph Classification against Topology Attack with Randomized Smoothing.

Zhidong Gao, Rui Hu, Yanmin Gong

Proceedings of the IEEE Global Communications Conference, 2020

2019

Targeted Poisoning Attacks on Social Recommender Systems.

Rui Hu, Yuanxiong Guo, Miao Pan, Yanmin Gong

Proceedings of the 2019 IEEE Global Communications Conference, 2019

2018

DP-ADMM: ADMM-based Distributed Learning with Differential Privacy.

Zonghao Huang, Rui Hu, Eric Chan-Tin, Yanmin Gong

CoRR, 2018

Secret Dispersion: Secure Data Delivery in Cyber Physical System.

Rui Hu, Yanmin Gong

Proceedings of the 2018 IEEE Conference on Communications and Network Security, 2018