| SU-Net: an efficient encoder-decoder model of federated learning for brain tumor segmentation L Yi, J Zhang, R Zhang, J Shi, G Wang, X Liu International Conference on Artificial Neural Networks, 761-773, 2020 | 36 | 2020 |
| Fedgh: Heterogeneous federated learning with generalized global header L Yi, G Wang, X Liu, Z Shi, H Yu Proceedings of the 31st ACM International Conference on Multimedia, 8686-8696, 2023 | 19 | 2023 |
| QSFL: A two-level uplink communication optimization framework for federated learning L Yi, W Gang, L Xiaoguang International Conference on Machine Learning, 25501-25513, 2022 | 13 | 2022 |
| Fedlora: Model-heterogeneous personalized federated learning with lora tuning L Yi, H Yu, G Wang, X Liu arXiv preprint arXiv:2310.13283, 2023 | 9 | 2023 |
| Two-erasure codes from 3-plexes L Yi, RJ Stones, G Wang Network and Parallel Computing: 16th IFIP WG 10.3 International Conference …, 2019 | 6 | 2019 |
| FedRRA: reputation-aware robust federated learning against poisoning attacks L Yi, X Shi, W Wang, G Wang, X Liu 2023 International Joint Conference on Neural Networks (IJCNN), 1-8, 2023 | 5 | 2023 |
| FedWM: Federated Crowdsourcing Workforce Management Service for Productive Laziness Z Shi, Z Yao, L Yi, H Yu, L Zhang, XY Li 2023 IEEE International Conference on Web Services (ICWS), 152-160, 2023 | 4 | 2023 |
| FFedCL: Fair Federated Learning with Contrastive Learning X Shi, L Yi, X Liu, G Wang ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023 | 4 | 2023 |
| FedMoE: Data-Level Personalization with Mixture of Experts for Model-Heterogeneous Personalized Federated Learning L Yi, H Yu, C Ren, H Zhang, G Wang, X Liu, X Li arXiv preprint arXiv:2402.01350, 2024 | 3 | 2024 |
| FedSSA: Semantic Similarity-based Aggregation for Efficient Model-Heterogeneous Personalized Federated Learning L Yi, H Yu, Z Shi, G Wang, X Liu arXiv preprint arXiv:2312.09006, 2023 | 3 | 2023 |
| pFedES: Model Heterogeneous Personalized Federated Learning with Feature Extractor Sharing L Yi, H Yu, G Wang, X Liu arXiv preprint arXiv:2311.06879, 2023 | 3 | 2023 |
| pFedLHNs: Personalized Federated Learning via Local Hypernetworks L Yi, X Shi, N Wang, Z Xu, G Wang, X Liu International Conference on Artificial Neural Networks, 516-528, 2023 | 3 | 2023 |
| pFedKT: Personalized federated learning with dual knowledge transfer L Yi, X Shi, N Wang, G Wang, X Liu, Z Shi, H Yu Knowledge-Based Systems 292, 111633, 2024 | 1 | 2024 |
| FedPE: Adaptive Model Pruning-Expanding for Federated Learning on Mobile Devices L Yi, X Shi, N Wang, J Zhang, G Wang, X Liu IEEE Transactions on Mobile Computing, 2024 | 1 | 2024 |
| APFL: Active-Passive Forgery Localization for Medical Images N Wang, J Shi, L Yi, G Wang, M Su, X Liu Pacific-Asia Conference on Knowledge Discovery and Data Mining, 181-193, 2024 | | 2024 |
| pFedAFM: Adaptive Feature Mixture for Batch-Level Personalization in Heterogeneous Federated Learning L Yi, H Yu, C Ren, H Zhang, G Wang, X Liu, X Li arXiv preprint arXiv:2404.17847, 2024 | | 2024 |
| MemAU-Net: Memory-Enhanced Attention U-Net for Medical Image Forgery Localization N Wang, L Yi, G Wang, X Liu 2023 International Joint Conference on Neural Networks (IJCNN), 1-7, 2023 | | 2023 |
