| FRAug: Tackling federated learning with Non-IID features via representation augmentation H Chen, A Frikha, D Krompass, J Gu, V Tresp Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 45 | 2023 |
| Towards data-free domain generalization A Frikha, H Chen, D Krompaß, T Runkler, V Tresp Asian Conference on Machine Learning, 327-342, 2023 | 15 | 2023 |
| Cl-crossvqa: A continual learning benchmark for cross-domain visual question answering Y Zhang, H Chen, A Frikha, Y Yang, D Krompass, G Zhang, J Gu, V Tresp arXiv preprint arXiv:2211.10567, 2022 | 6 | 2022 |
| Feddat: An approach for foundation model finetuning in multi-modal heterogeneous federated learning H Chen, Y Zhang, D Krompass, J Gu, V Tresp Proceedings of the AAAI Conference on Artificial Intelligence 38 (10), 11285 …, 2024 | 5 | 2024 |
| FedPop: Federated Population-based Hyperparameter Tuning H Chen, D Krompass, J Gu, V Tresp arXiv preprint arXiv:2308.08634, 2023 | | 2023 |
