| Towards federated learning with attention transfer to mitigate system and data heterogeneity of clients H Shi, V Radu Proceedings of the 4th international workshop on edge systems, analytics and …, 2021 | 8 | 2021 |
| Data selection for efficient model update in federated learning H Shi, V Radu Proceedings of the 2nd European Workshop on Machine Learning and Systems, 72-78, 2022 | 4 | 2022 |
| Closing the Gap between Client and Global Model Performance in Heterogeneous Federated Learning H Shi, V Radu, P Yang arXiv preprint arXiv:2211.03457, 2022 | 1 | 2022 |
| Lightweight Workloads in Heterogeneous Federated Learning via Few-shot Learning H Shi, V Radu, P Yang Proceedings of the 4th International Workshop on Distributed Machine …, 2023 | | 2023 |
| Distributed Training for Speech Recognition using Local Knowledge Aggregation and Knowledge Distillation in Heterogeneous Systems H Shi, V Radu, P Yang Proceedings of the 3rd Workshop on Machine Learning and Systems, 64-70, 2023 | | 2023 |
