Herbert Woisetschlaeger

According to our database, Herbert Woisetschlaeger authored at least 6 papers between 2023 and 2024.

Collaborative distances:

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

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

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

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

CoRR, 2024

2023

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

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

CoRR, 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