Herbert Woisetschlaeger

According to our database, Herbert Woisetschlaeger authored at least 19 papers between 2023 and 2026.

Collaborative distances:

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

2026

Position: Let's Develop Data Probes to Fundamentally Understand How Data Affects LLM Performance.

Shiqiang Wang, Herbert Woisetschläger, Hans-Arno Jacobsen, Mingyue Ji

CoRR, May, 2026

Agentic Performance at the Edge: Insights from Benchmarking.

Shiqiang Wang, Herbert Woisetschläger

CoRR, May, 2026

Agentic Performance at the Edge: Insights from Benchmarking.

Shiqiang Wang, Herbert Woisetschläger

Proceedings of the 24th Annual International Conference on Mobile Systems, 2026

SIGN: Schema Induced Games for Naming (Student Abstract).

Ryan Zhang, Herbert Woisetschläger

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

MAR-FL: A Communication Efficient Peer-to-Peer Federated Learning System.

Felix Mulitze, Herbert Woisetschläger, Hans-Arno Jacobsen

CoRR, December, 2025

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

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

CoRR, May, 2025

A Comprehensive Survey of Machine Unlearning Techniques for Large Language Models.

Jiahui Geng, Qing Li, Herbert Woisetschlaeger, Zongxiong Chen, Yuxia Wang, Preslav Nakov, Hans-Arno Jacobsen, Fakhri Karray

CoRR, March, 2025

GneissWeb: Preparing High Quality Data for LLMs at Scale.

Hajar Emami-Gohari, Swanand Ravindra Kadhe, Syed Yousaf Shah, Constantin Adam, Abdulhamid Adebayo, Praneet Adusumilli, Farhan Ahmed, Nathalie Baracaldo Angel, Santosh Borse, Yuan Chi Chang, Xuan-Hong Dang, Nirmit Desai, Revital Eres, Ran Iwamoto, Alexei Karve, Yan Koyfman, Wei-Han Lee, Changchang Liu, Boris Lublinsky, Takuya Ohko, Pablo Pesce, Maroun Touma, Shiqiang Wang, Shalisha Witherspoon, Herbert Woisetschlaeger, David Wood, Kun-Lung Wu, Issei Yoshida, Syed Zawad, Petros Zerfos, Yi Zhou, Bishwaranjan Bhattacharjee

CoRR, February, 2025

Efficient Federated Learning Systems in Resource-Constrained Environments under Emerging AI Regulation.

Herbert Woisetschläger

PhD thesis, 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

Proceedings of the Thirteenth International Conference on Learning Representations, 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