Publications

List of publications.

2026

  1. Federation Is the Way Forward for AI Agents
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    Herbert Woisetschläger, Nicholas D. Lane, and Shiqiang Wang
    May 2026 · Under Submission.
  2. Cost-Optimal LLM Routing with Limited User Feedback under User Satisfaction Guarantees
    Herbert Woisetschläger, Arastun Mammadli, Ryan Zhang, and 1 more author
    May 2026 · Under Submission.

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
    Herbert 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, Herbert 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
    Herbert 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