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 (IJCAI, 2023)

A Comprehensive Study on Dataset Distillation: Performance, Privacy, Robustness and Fairness. - Zongxiong Chen; Jiahui Geng; Derui Zhu; Herbert Woisetschlaeger; Qing Li 038; Sonja Schimmler; Ruben Mayer; Chunming Rong (CoRR, 2023)

FLEdge: Benchmarking Federated Machine Learning Applications in Edge Computing Systems. - Herbert Woisetschläger; Alexander Isenko; Ruben Mayer; Hans-Arno Jacobsen (CoRR, 2023)

Federated Fine-Tuning of LLMs on the Very Edge: The Good, the Bad, the Ugly. - Herbert Woisetschläger; Alexander Erben; Shiqiang Wang 001; Ruben Mayer; Hans-Arno Jacobsen (DEEM@SIGMOD, 2024)

A Survey on Efficient Federated Learning Methods for Foundation Model Training. - Herbert Woisetschläger; Alexander Erben; Shiqiang Wang 001; Ruben Mayer; Hans-Arno Jacobsen (IJCAI, 2024)

FLEdge: Benchmarking Federated Learning Applications in Edge Computing Systems. - Herbert Woisetschläger; Alexander Erben; Ruben Mayer; Shiqiang Wang 001; Hans-Arno Jacobsen (Middleware, 2024)

Federated Learning Priorities Under the European Union Artificial Intelligence Act. - Herbert Woisetschläger; Alexander Erben; Bill Marino; Shiqiang Wang 001; Nicholas D. Lane; Ruben Mayer; 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)

MESS+: Energy-Optimal Inferencing in Language Model Zoos with Service Level Guarantees. - Ryan Zhang; Herbert Woisetschläger; Shiqiang Wang 001; Hans-Arno Jacobsen (CoRR, 2024)

Dynamic Loss-Based Sample Reweighting for Improved Large Language Model Pretraining. - Daouda Sow; Herbert Woisetschläger; Saikiran Bulusu; Shiqiang Wang 001; Hans-Arno Jacobsen; Yingbin Liang (ICLR, 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; et al. (CoRR, 2025)

A Comprehensive Survey of Machine Unlearning Techniques for Large Language Models. - Jiahui Geng; Qing Li 038; Herbert Woisetschlaeger; Zongxiong Chen; Yuxia Wang; Preslav Nakov; Hans-Arno Jacobsen; Fakhri Karray (CoRR, 2025)

Dynamically Learned Test-Time Model Routing in Language Model Zoos with Service Level Guarantees. - Herbert Woisetschläger; Ryan Zhang; Shiqiang Wang 001; Hans-Arno Jacobsen (CoRR, 2025)