Publications

2025

1. Dynamic Loss-Based Sample Reweighting for Improved Large Language Model Pretraining

   D. Sow, H. Woisetschläger, and others

   In The Thirteenth International Conference on Learning Representations (ICLR’25), Apr 2025
2. GneissWeb: Preparing High Quality Data for LLMs at Scale

   H. Gohari, S. Kadhe, Y. Shah, and 29 more authors

   Feb 2025

   Under Submission.
3. Dynamically Learned Test-Time Model Routing in Language Model Zoos with Service Level Guarantees

   H. Woisetschläger, R. Zhang, and others

   In The Thirty-Ninth Annual Conference on Neural Information Processing Systems (NeurIPS 2025), Dec 2025
4. Let’s Develop Data Probes to Fundamentally Understand How Data Affects LLM Performance

   Shiqiang Wang, H. Woisetschläger, HA. Jacobsen, and 1 more author

   May 2025

   Under Submission.
5. Federated Learning is Needed to Overcome Key Challenges Arising from the European Union AI Act

   H. Woisetschläger, A. Erben, Bill Marino, and 4 more authors

   May 2025

   Under Submission. Full paper version of Federated Learning Priorities Under the European Union Artificial Intelligence Act.

2024

1. Federated Fine-Tuning of LLMs on the Very Edge: The Good, the Bad, the Ugly

   H. Woisetschläger, A. Erben, and others

   In Proceedings of the Eighth Workshop on Data Management for End-to-End Machine Learning (DEEM’24), Jun 2024
2. Federated Learning Priorities Under the European Union Artificial Intelligence Act

   H. Woisetschläger, A. Erben, and others

   In 2nd Workshop on Generative AI and Law (GenLaw’24) in conjunction with the Forty-First International Conference on Machine Learning (ICML’24), Jul 2024
3. FLEdge: Benchmarking Federated Learning Applications in Edge Computing Systems

   H. Woisetschläger, A. Erben, and others

   In Proceedings of the 25th International Middleware Conference (MIDDLEWARE’24), Dec 2024
4. Federated Learning and AI Regulation in the European Union: Who is Responsible? - An Interdisciplinary Analysis

   H. Woisetschläger^*, Simon Mertel^*, Christoph Krönke, and 2 more authors

   In 2nd Workshop on Generative AI and Law (GenLaw’24) in conjunction with the Forty-First International Conference on Machine Learning (ICML’24), Jul 2024
5. MESS+: Energy-Optimal Inferencing in Language Model Zoos with Service Level Guarantees

   R. Zhang, H. Woisetschläger, Shiqiang Wang, and 1 more author

   In NeurIPS 2024 Workshop on Adaptive Foundation Models: Evolving AI for Personalized and Efficient Learning (AFM@NeurIPS’24), Dec 2024
6. A Survey on Efficient Federated Learning Methods for Foundation Model Training

   H. Woisetschläger, A. Erben, Shiqiang Wang, and 2 more authors

   In Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence (IJCAI’24), Aug 2024

2023

1. A survey on dataset distillation: approaches, applications and future directions

   Jiahui Geng, Zongxiong Chen, Yuandou Wang, and 5 more authors

   In Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence (IJCAI’23), Aug 2023