| Towards Federated Learning against Noisy Labels via Local Self-Regularization X Jiang, S Sun, Y Wang, M Liu Proceedings of the 31st ACM International Conference on Information …, 2022 | 28 | 2022 |
| FedICT: Federated Multi-task Distillation for Multi-access Edge Computing Z Wu, S Sun, Y Wang, M Liu, X Jiang, B Gao IEEE Transactions on Parallel and Distributed Systems, 2023 | 23 | 2023 |
| FedNoRo: Towards noise-robust federated learning by addressing class imbalance and label noise heterogeneity N Wu, L Yu, X Jiang, KT Cheng, Z Yan arXiv preprint arXiv:2305.05230, 2023 | 15 | 2023 |
| Fedcache: A knowledge cache-driven federated learning architecture for personalized edge intelligence Z Wu, S Sun, Y Wang, M Liu, K Xu, W Wang, X Jiang, B Gao, J Lu IEEE Transactions on Mobile Computing, 2024 | 14 | 2024 |
| Survey of knowledge distillation in federated edge learning Z Wu, S Sun, Y Wang, M Liu, X Jiang, R Li, B Gao arXiv preprint arXiv:2301.05849, 2023 | 14 | 2023 |
| Federated skewed label learning with logits fusion Y Wang, R Li, H Tan, X Jiang, S Sun, M Liu, B Gao, Z Wu arXiv preprint arXiv:2311.08202, 2023 | 6 | 2023 |
| Agglomerative federated learning: Empowering larger model training via end-edge-cloud collaboration Z Wu, S Sun, Y Wang, M Liu, B Gao, Q Pan, T He, X Jiang IEEE INFOCOM 2024-IEEE Conference on Computer Communications, 131-140, 2024 | 4 | 2024 |
| FedBIAD: Communication-Efficient and Accuracy-Guaranteed Federated Learning with Bayesian Inference-Based Adaptive Dropout J Xue, M Liu, S Sun, Y Wang, H Jiang, X Jiang 2023 IEEE International Parallel and Distributed Processing Symposium (IPDPS …, 2023 | 4 | 2023 |
| Federated Classification Tasks in Long-tailed Data Environments via Classifier Representation Adjustment and Calibration X Li, S Sun, M Liu, J Ren, X Jiang, T He Authorea Preprints, 2023 | 3 | 2023 |
| FedTrip: A Resource-Efficient Federated Learning Method with Triplet Regularization X Li, M Liu, S Sun, Y Wang, H Jiang, X Jiang IPDPS 2023, 2023 | 3 | 2023 |
| Tackling Noisy Clients in Federated Learning with End-to-end Label Correction X Jiang, S Sun, J Li, J Xue, R Li, Z Wu, G Xu, Y Wang, M Liu arXiv preprint arXiv:2408.04301, 2024 | 1 | 2024 |
| Federated Class-Incremental Learning with New-Class Augmented Self-Distillation Z Wu, T He, S Sun, Y Wang, M Liu, B Gao, X Jiang arXiv preprint arXiv:2401.00622, 2024 | 1 | 2024 |
| FedLF: Adaptive Logit Adjustment and Feature Optimization in Federated Long-Tailed Learning X Lu, P Li, X Jiang arXiv preprint arXiv:2409.12105, 2024 | | 2024 |
| FNBench: Benchmarking Robust Federated Learning against Noisy Labels X Jiang, J Li, N Wu, Z Wu, X Li, S Sun, G Xu, Y Wang, Q Li, M Liu Authorea Preprints, 2024 | | 2024 |
| VIPS-Odom: Visual-Inertial Odometry Tightly-coupled with Parking Slots for Autonomous Parking X Jiang, F Wang, R Zheng, H Liu, Y Huo, J Peng, L Tian, E Barsoum arXiv preprint arXiv:2407.05017, 2024 | | 2024 |
| Knowledge Distillation in Federated Edge Learning: A Survey Z Wu, S Sun, Y Wang, M Liu, X Jiang, R Li, B Gao | | 2024 |
| Fedspl: Robust Federated Learning Against Noisy Labels Via Self-Paced Learning Y Chen, Z Da, X Jiang, Y Zhang, N Xiong Available at SSRN 4853275, 0 | | |
Zhiyuan WuInstitute of Computing Technology, Chinese Academy of Sciences在 ict.ac.cn 的电子邮件经过验证
