| Adaptive control of local updating and model compression for efficient federated learning Y Xu, Y Liao, H Xu, Z Ma, L Wang, J Liu IEEE Transactions on Mobile Computing 22 (10), 5675-5689, 2022 | 51 | 2022 |
| Adaptive configuration for heterogeneous participants in decentralized federated learning Y Liao, Y Xu, H Xu, L Wang, C Qian IEEE INFOCOM 2023-IEEE Conference on Computer Communications, 1-10, 2023 | 30 | 2023 |
| Accelerating federated learning with data and model parallelism in edge computing Y Liao, Y Xu, H Xu, Z Yao, L Wang, C Qiao IEEE/ACM Transactions on Networking, 2023 | 18 | 2023 |
| Enhancing federated learning with intelligent model migration in heterogeneous edge computing J Liu, Y Xu, H Xu, Y Liao, Z Wang, H Huang 2022 IEEE 38th International Conference on Data Engineering (ICDE), 1586-1597, 2022 | 15 | 2022 |
| Yoga: Adaptive layer-wise model aggregation for decentralized federated learning J Liu, J Liu, H Xu, Y Liao, Z Wang, Q Ma IEEE/ACM Transactions on Networking, 2023 | 9 | 2023 |
| Ferrari: A personalized federated learning framework for heterogeneous edge clients Z Yao, J Liu, H Xu, L Wang, C Qian, Y Liao IEEE Transactions on Mobile Computing, 2024 | 3 | 2024 |
| Mergesfl: Split federated learning with feature merging and batch size regulation Y Liao, Y Xu, H Xu, L Wang, Z Yao, C Qiao 2024 IEEE 40th International Conference on Data Engineering (ICDE), 2054-2067, 2024 | 2 | 2024 |
| Federated Learning With Experience-Driven Model Migration in Heterogeneous Edge Networks J Liu, S Wang, H Xu, Y Xu, Y Liao, J Huang, H Huang IEEE/ACM Transactions on Networking, 2024 | 2 | 2024 |
| Decentralized Federated Learning with Adaptive Configuration for Heterogeneous Participants Y Liao, Y Xu, H Xu, L Wang, C Qian, C Qiao IEEE Transactions on Mobile Computing, 2023 | 2 | 2023 |
| Decentralized federated learning with data feature transmission and neighbor selection W Lou, Y Xu, H Xu, Y Liao 2022 IEEE 28th International Conference on Parallel and Distributed Systems …, 2023 | 2 | 2023 |
| Asynchronous Decentralized Federated Learning for Heterogeneous Devices Y Liao, Y Xu, H Xu, M Chen, L Wang, C Qiao IEEE/ACM Transactions on Networking, 2024 | | 2024 |
| Overcoming Noisy Labels and Non-IID Data in Edge Federated Learning Y Xu, Y Liao, L Wang, H Xu, Z Jiang, W Zhang IEEE Transactions on Mobile Computing, 2024 | | 2024 |
| SemiSFL: Split Federated Learning on Unlabeled and Non-IID Data Y Xu, Y Liao, H Xu, Z Sun, L Huang, C Qiao arXiv e-prints, arXiv: 2307.15870, 2023 | | 2023 |
Hongli XuUniversity of Science and Technology of China在 ustc.edu.cn 的电子邮件经过验证
