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 | 138 | 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 | 115 | 2021 |
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 | 45 | 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 |
Rollover-free path planning for off-road autonomous driving X Li, B Tang, J Ball, M Doude, DW Carruth Electronics 8 (6), 614, 2019 | 32 | 2019 |
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 |
AdaER: An adaptive experience replay approach for continual lifelong learning X Li, B Tang, H Li Neurocomputing 572, 127204, 2024 | 16 | 2024 |
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 |
Text-driven prompt generation for vision-language models in federated learning C Qiu, X Li, CK Mummadi, MR Ganesh, Z Li, L Peng, WY Lin arXiv preprint arXiv:2310.06123, 2023 | 8 | 2023 |
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 |
Federated text-driven prompt generation for vision-language models C Qiu, X Li, CK Mummadi, MR Ganesh, Z Li, L Peng, WY Lin The Twelfth International Conference on Learning Representations, 2024 | 4 | 2024 |
Open challenges and opportunities in federated foundation models towards biomedical healthcare X Li, L Peng, YP Wang, W Zhang BioData Mining 18 (1), 2, 2025 | 2 | 2025 |
FedGCA: Global Consistent Augmentation Based Single-Source Federated Domain Generalization Y Liu, S Wang, Z Qu, X Li, S Kan, J Wang 2024 IEEE International Conference on Multimedia and Expo (ICME), 1-6, 2024 | 1 | 2024 |
G-Mix: A Generalized Mixup Learning Framework Towards Flat Minima X Li, B Tang IEEE Transactions on Artificial Intelligence, 2025 | | 2025 |
Stability and Generalization for Stochastic Recursive Momentum-based Algorithms for (Strongly-)Convex One to -Level Stochastic Optimizations X Pan, X Li, J Liu, T Sun, K Sun, L Chen, Z Qu arXiv preprint arXiv:2407.05286, 2024 | | 2024 |
MGSER-SAM: Memory-Guided Soft Experience Replay with Sharpness-Aware Optimization for Enhanced Continual Learning X Li, B Tang arXiv preprint arXiv:2405.09492, 2024 | | 2024 |