Rui Hu - RankMe

38 papers A* 3A 2B 4Journal 24Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Heterogeneous Federated Fine-Tuning with Parallel One-Rank Adaptation. CoRR Zikai Zhang, Rui Hu, Jiahao Xu
2025	A	`conf`	Achieving Byzantine-Resilient Federated Learning via Layer-Adaptive Sparsified Model Aggregation. WACV Jiahao Xu, Zikai Zhang, Rui Hu
2025	A*	`conf`	Detecting Backdoor Attacks in Federated Learning via Direction Alignment Inspection. CVPR Jiahao Xu, Zikai Zhang, Rui Hu
2025	J	`jnl`	Detecting Backdoor Attacks in Federated Learning via Direction Alignment Inspection. CoRR Jiahao Xu, Zikai Zhang, Rui Hu
2025	J	`jnl`	Fed-HeLLo: Efficient Federated Foundation Model Fine-Tuning With Heterogeneous LoRA Allocation. IEEE Trans. Neural Networks Learn. Syst. Zikai Zhang, Ping Liu, Jiahao Xu, Rui Hu
2025	J	`jnl`	Fed-HeLLo: Efficient Federated Foundation Model Fine-Tuning with Heterogeneous LoRA Allocation. CoRR Zikai Zhang, Ping Liu, Jiahao Xu, Rui Hu
2025	J	`jnl`	FlowerTune: A Cross-Domain Benchmark for Federated Fine-Tuning of Large Language Models. CoRR 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, KangYoon Lee, Hong Jia, Ting Dang, Junyan Wang, Zheyuan Liu, Daniel J. Beutel, Lingjuan Lyu, Nicholas D. Lane
2025	A	`conf`	Identify Backdoored Model in Federated Learning via Individual Unlearning. WACV Jiahao Xu, Zikai Zhang, Rui Hu
2025	J	`jnl`	Majority Bit-Aware Watermarking For Large Language Models. CoRR Jiahao Xu, Rui Hu, Zikai Zhang
2025	B	`conf`	On the Out-of-Distribution Backdoor Attack for Federated Learning. MobiHoc Jiahao Xu, Zikai Zhang, Rui Hu
2025	J	`jnl`	On the Out-of-Distribution Backdoor Attack for Federated Learning. CoRR Jiahao Xu, Zikai Zhang, Rui Hu
2025	J	`jnl`	Optimal Client Sampling in Federated Learning with Client-Level Heterogeneous Differential Privacy. CoRR Jiahao Xu, Rui Hu, Olivera Kotevska
2025	J	`jnl`	Traceable Black-box Watermarks for Federated Learning. CoRR Jiahao Xu, Rui Hu, Olivera Kotevska, Zikai Zhang
2024	J	`jnl`	Achieving Byzantine-Resilient Federated Learning via Layer-Adaptive Sparsified Model Aggregation. CoRR Jiahao Xu, Zikai Zhang, Rui Hu
2024	J	`jnl`	Fed-piLot: Optimizing LoRA Assignment for Efficient Federated Foundation Model Fine-Tuning. CoRR Zikai Zhang, Jiahao Xu, Ping Liu, Rui Hu
2024	J	`jnl`	Federated Learning With Sparsified Model Perturbation: Improving Accuracy Under Client-Level Differential Privacy. IEEE Trans. Mob. Comput. Rui Hu, Yuanxiong Guo, Yanmin Gong
2024	J	`jnl`	Identify Backdoored Model in Federated Learning via Individual Unlearning. CoRR Jiahao Xu, Zikai Zhang, Rui Hu
2023	—	`conf`	Byzantine-Robust Federated Learning with Variance Reduction and Differential Privacy. CNS Zikai Zhang, Rui Hu
2023	J	`jnl`	Byzantine-Robust Federated Learning with Variance Reduction and Differential Privacy. CoRR Zikai Zhang, Rui Hu
2022	—	`conf`	Agent-Level Differentially Private Federated Learning via Compressed Model Perturbation. CNS Yuanxiong Guo, Rui Hu, Yanmin Gong
2022	—	`conf`	Energy-Efficient Distributed Machine Learning at Wireless Edge with Device-to-Device Communication. ICC Rui Hu, Yuanxiong Guo, Yanmin Gong
2022	J	`jnl`	Federated Learning with Sparsified Model Perturbation: Improving Accuracy under Client-Level Differential Privacy. CoRR Rui Hu, Yanmin Gong, Yuanxiong Guo
2022	A*	`conf`	Hybrid Local SGD for Federated Learning with Heterogeneous Communications. ICLR Yuanxiong Guo, Ying Sun, Rui Hu, Yanmin Gong
2021	J	`jnl`	Concentrated Differentially Private Federated Learning With Performance Analysis. IEEE Open J. Comput. Soc. Rui Hu, Yuanxiong Guo, Yanmin Gong
2021	A*	`conf`	Federated Learning with Sparsification-Amplified Privacy and Adaptive Optimization. IJCAI Rui Hu, Yanmin Gong, Yuanxiong Guo
2020	J	`jnl`	CPFed: Communication-Efficient and Privacy-Preserving Federated Learning. CoRR Rui Hu, Yanmin Gong, Yuanxiong Guo
2020	B	`conf`	Certified Robustness of Graph Classification against Topology Attack with Randomized Smoothing. GLOBECOM Zhidong Gao, Rui Hu, Yanmin Gong
2020	J	`jnl`	Certified Robustness of Graph Classification against Topology Attack with Randomized Smoothing. CoRR Zhidong Gao, Rui Hu, Yanmin Gong
2020	J	`jnl`	DP-ADMM: ADMM-Based Distributed Learning With Differential Privacy. IEEE Trans. Inf. Forensics Secur. Zonghao Huang, Rui Hu, Yuanxiong Guo, Eric Chan-Tin, Yanmin Gong
2020	J	`jnl`	Differentially Private Federated Learning for Resource-Constrained Internet of Things. CoRR Rui Hu, Yuanxiong Guo, E. Paul Ratazzi, Yanmin Gong
2020	J	`jnl`	Personalized Federated Learning With Differential Privacy. IEEE Internet Things J. Rui Hu, Yuanxiong Guo, Hongning Li, Qingqi Pei, Yanmin Gong
2020	—	`conf`	Privacy-Preserving Personalized Federated Learning. ICC Rui Hu, Yuanxiong Guo, Hongning Li, Qingqi Pei, Yanmin Gong
2020	J	`jnl`	Sparsified Privacy-Masking for Communication-Efficient and Privacy-Preserving Federated Learning. CoRR Rui Hu, Yanmin Gong, Yuanxiong Guo
2020	B	`conf`	Trading Data For Learning: Incentive Mechanism For On-Device Federated Learning. GLOBECOM Rui Hu, Yanmin Gong
2020	J	`jnl`	Trading Data For Learning: Incentive Mechanism For On-Device Federated Learning. CoRR Rui Hu, Yanmin Gong
2019	B	`conf`	Targeted Poisoning Attacks on Social Recommender Systems. GLOBECOM Rui Hu, Yuanxiong Guo, Miao Pan, Yanmin Gong
2018	J	`jnl`	DP-ADMM: ADMM-based Distributed Learning with Differential Privacy. CoRR Zonghao Huang, Rui Hu, Eric Chan-Tin, Yanmin Gong
2018	—	`conf`	Secret Dispersion: Secure Data Delivery in Cyber Physical System. CNS Rui Hu, Yanmin Gong