Herbert Woisetschlaeger

According to our database, Herbert Woisetschlaeger authored at least 10 papers between 2023 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

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

Daouda Sow, Herbert Woisetschläger, Saikiran Bulusu, Shiqiang Wang, Hans-Arno Jacobsen, Yingbin Liang

CoRR, February, 2025

2024

MESS+: Energy-Optimal Inferencing in Language Model Zoos with Service Level Guarantees.

Ryan Zhang, Herbert Woisetschläger, Shiqiang Wang, Hans-Arno Jacobsen

CoRR, 2024

Federated Learning and AI Regulation in the European Union: Who is Responsible? - An Interdisciplinary Analysis.

Herbert Woisetschläger, Simon Mertel, Christoph Krönke, Ruben Mayer, Hans-Arno Jacobsen

CoRR, 2024

Federated Learning Priorities Under the European Union Artificial Intelligence Act.

Herbert Woisetschläger, Alexander Erben, Bill Marino, Shiqiang Wang, Nicholas D. Lane, Ruben Mayer, Hans-Arno Jacobsen

CoRR, 2024

FLEdge: Benchmarking Federated Learning Applications in Edge Computing Systems.

Herbert Woisetschläger, Alexander Erben, Ruben Mayer, Shiqiang Wang, Hans-Arno Jacobsen

Proceedings of the 25th International Middleware Conference, 2024

A Survey on Efficient Federated Learning Methods for Foundation Model Training.

Herbert Woisetschläger, Alexander Erben, Shiqiang Wang, Ruben Mayer, Hans-Arno Jacobsen

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

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

Herbert Woisetschläger, Alexander Erben, Shiqiang Wang, Ruben Mayer, Hans-Arno Jacobsen

Proceedings of the Eighth Workshop on Data Management for End-to-End Machine Learning, 2024

2023

FLEdge: Benchmarking Federated Machine Learning Applications in Edge Computing Systems.

Herbert Woisetschläger, Alexander Isenko, Ruben Mayer, Hans-Arno Jacobsen

CoRR, 2023

A Comprehensive Study on Dataset Distillation: Performance, Privacy, Robustness and Fairness.

Zongxiong Chen, Jiahui Geng, Derui Zhu, Herbert Woisetschlaeger, Qing Li, Sonja Schimmler, Ruben Mayer, Chunming Rong

CoRR, 2023

A Survey on Dataset Distillation: Approaches, Applications and Future Directions.

Jiahui Geng, Zongxiong Chen, Yuandou Wang, Herbert Woisetschlaeger, Sonja Schimmler, Ruben Mayer, Zhiming Zhao, Chunming Rong

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023