A Survey on Dataset Distillation: Approaches, Applications and Future Directions J Geng, Z Chen, Y Wang, H Woisetschlaeger, S Schimmler, R Mayer, ... IJCAI'23: Proceedings of the Thirty-Second International Joint Conference on …, 2023 | 21 | 2023 |
Federated Fine-tuning of LLMs on the Very Edge: The Good, the Bad, the Ugly H Woisetschläger, A Erben, S Wang, R Mayer, HA Jacobsen DEEM '24: Proceedings of the Eighth Workshop on Data Management for End-to …, 2024 | 20 | 2024 |
Federated Learning Priorities Under the European Union Artificial Intelligence Act H Woisetschläger, A Erben, B Marino, S Wang, ND Lane, R Mayer, ... GenLaw'24 @ ICML - Workshop on Generative AI and Law in conjunction with the …, 2024 | 17 | 2024 |
A Survey on Efficient Federated Learning Methods for Foundation Model Training H Woisetschläger, A Erben, S Wang, R Mayer, HA Jacobsen Proceedings of the Thirty-Third International Joint Conference on Artificial …, 2024 | 16 | 2024 |
A comprehensive study on dataset distillation: Performance, privacy, robustness and fairness Z Chen, J Geng, D Zhu, H Woisetschlaeger, Q Li, S Schimmler, R Mayer, ... arXiv preprint arXiv:2305.03355, 2023 | 6 | 2023 |
FLEdge: Benchmarking Federated Learning Applications in Edge Computing Systems H Woisetschläger, A Erben, R Mayer, S Wang, HA Jacobsen Proceedings of the 25th International Middleware Conference, 88-102, 2024 | 3 | 2024 |
Federated Learning and AI Regulation in the European Union: Who is Responsible? An Interdisciplinary Analysis H Woisetschläger, S Mertel, C Krönke, R Mayer, HA Jacobsen GenLaw'24 @ ICML - Workshop on Generative AI and Law in conjunction with the …, 2024 | 2 | 2024 |
MESS+: Energy-Optimal Inferencing in Language Model Zoos with Service Level Guarantees R Zhang, H Woisetschläger, S Wang, HA Jacobsen NeurIPS 2024 Workshop on Adaptive Foundation Models, 2024 | | 2024 |
Globalisation & Child Labour: What is the Link? H Woisetschläger Catholic University Eichstätt-Ingolstadt, 2017 | | 2017 |