| 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 | 139 | 2022 |
| 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 | 114 | 2021 |
| 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 | 73 | 2022 |
| 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 | 46 | 2021 |
| Fedlga: Toward system-heterogeneity of federated learning via local gradient approximation X Li, Z Qu, B Tang, Z Lu IEEE Transactions on Cybernetics 54 (1), 401-414, 2023 | 37 | 2023 |
| 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 | 28 | 2020 |
| 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 22 (11), 6647-6662, 2022 | 23 | 2022 |
| 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 | 16 | 2023 |
| 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 | 13 | 2023 |
| 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 | 12 | 2022 |
| Inter-instance similarity modeling for contrastive learning C Shen, D Liu, H Tang, Z Qu, J Wang arXiv preprint arXiv:2306.12243, 2023 | 10 | 2023 |
| 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 | 10 | 2021 |
| 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 | 9 | 2019 |
| 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 | 7 | 2022 |
| Divide, Conquer, and Coalesce: Meta Parallel Graph Neural Network for IoT Intrusion Detection at Scale H Ding, L Chen, S Li, Y Bai, P Zhou, Z Qu Proceedings of the ACM on Web Conference 2024, 1656-1667, 2024 | 6 | 2024 |
| 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 | 5 | 2020 |
| In Submission Z Qu | 5 | 1985 |
| 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 | 4 | 2024 |
| Segmenting ischemic penumbra and infarct core simultaneously on non-contrast CT of patients with acute ischemic stroke using novel convolutional neural network H Kuang, X Tan, J Wang, Z Qu, Y Cai, Q Chen, BJ Kim, W Qiu Biomedicines 12 (3), 580, 2024 | 4 | 2024 |
| 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 | 2 | 2024 |
Zhuo LuUniversity of South FloridaПодтвержден адрес электронной почты в домене ieee.org
