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Zhe Qu
Zhe Qu
Associated Professor, Central South University
Verified email at csu.edu.cn - Homepage
Title
Cited by
Cited by
Year
Generalized federated learning via sharpness aware minimization
Z Qu, X Li, R Duan, Y Liu, B Tang, Z Lu
International conference on machine learning, 18250-18280, 2022
712022
Lomar: A local defense against poisoning attack on federated learning
X Li, Z Qu, S Zhao, B Tang, Z Lu, Y Liu
IEEE Transactions on Dependable and Secure Computing 20 (1), 437-450, 2021
612021
Context-aware online client selection for hierarchical federated learning
Z Qu, R Duan, L Chen, J Xu, Z Lu, Y Liu
IEEE Transactions on Parallel and Distributed Systems 33 (12), 4353-4367, 2022
382022
Stragglers are not disaster: A hybrid federated learning algorithm with delayed gradients
X Li, Z Qu, B Tang, Z Lu
arXiv preprint arXiv:2102.06329, 2021
312021
ProTO: Proactive topology obfuscation against adversarial network topology inference
T Hou, Z Qu, T Wang, Z Lu, Y Liu
IEEE INFOCOM 2020-IEEE Conference on Computer Communications, 1598-1607, 2020
212020
Fedlga: Toward system-heterogeneity of federated learning via local gradient approximation
X Li, Z Qu, B Tang, Z Lu
IEEE Transactions on Cybernetics, 2023
132023
Security of HPC systems: From a log-analyzing perspective
Z Luo, Z Qu, TT Nguyen, H Zeng, Z Lu
EAI Endorsed Transactions on Security and Safety 6 (21), e5-e5, 2019
82019
Perception-aware attack: Creating adversarial music via reverse-engineering human perception
R Duan, Z Qu, S Zhao, L Ding, Y Liu, Z Lu
Proceedings of the 2022 ACM SIGSAC conference on computer and communications …, 2022
72022
On the convergence of multi-server federated learning with overlapping area
Z Qu, X Li, J Xu, B Tang, Z Lu, Y Liu
IEEE Transactions on Mobile Computing, 2022
62022
How to test the randomness from the wireless channel for security?
Z Qu, S Zhao, J Xu, Z Lu, Y Liu
IEEE Transactions on Information Forensics and Security 16, 3753-3766, 2021
62021
Comb Decoding towards {Collision-Free}{WiFi}
S Zhao, Z Qu, Z Luo, Z Lu, Y Liu
17th USENIX Symposium on Networked Systems Design and Implementation (NSDI …, 2020
42020
In Submission
Z Qu
41985
How to Prevent the Poor Performance Clients for Personalized Federated Learning?
Z Qu, X Li, X Han, R Duan, C Shen, L Chen
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
32023
Modeling global distribution for federated learning with label distribution skew
T Sheng, C Shen, Y Liu, Y Ou, Z Qu, Y Liang, J Wang
Pattern Recognition 143, 109724, 2023
22023
Inter-Instance Similarity Modeling for Contrastive Learning
C Shen, D Liu, H Tang, Z Qu, J Wang
arXiv preprint arXiv:2306.12243, 2023
12023
Stragglers are not disasters: A hybrid federated learning framework with delayed gradients
X Li, Z Qu, B Tang, Z Lu
2022 21st IEEE International Conference on Machine Learning and Applications …, 2022
12022
Spectrum tomography attacks: Inferring spectrum allocation mechanisms in multicarrier systems
S Zhao, Z Qu, Z Lu, T Wang
2019 IEEE International Symposium on Dynamic Spectrum Access Networks …, 2019
12019
Faster Stochastic Variance Reduction Methods for Compositional MiniMax Optimization
J Liu, X Pan, J Duan, HD Li, Y Li, Z Qu
Proceedings of the AAAI Conference on Artificial Intelligence 38 (12), 13927 …, 2024
2024
What Makes Good Collaborative Views? Contrastive Mutual Information Maximization for Multi-Agent Perception
W Su, L Chen, Y Bai, X Lin, G Li, Z Qu, P Zhou
Proceedings of the AAAI Conference on Artificial Intelligence 38 (16), 17550 …, 2024
2024
Unsupervised Collaborative Metric Learning with Mixed-Scale Groups for General Object Retrieval
S Kan, Y Deng, Y Liang, L Cen, Z Qu, Y Cen, Z He
arXiv preprint arXiv:2403.10798, 2024
2024
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