Xenia Heilmann

According to our database, Xenia Heilmann authored at least 5 papers between 2024 and 2025.

Collaborative distances:

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

2025

FeDa4Fair: Client-Level Federated Datasets for Fairness Evaluation.

Xenia Heilmann, Luca Corbucci, Mattia Cerrato, Anna Monreale

CoRR, June, 2025

Benefits of the Federation? Analyzing the Impact of Fair Federated Learning at the Client Level.

Luca Corbucci, Xenia Heilmann, Mattia Cerrato

Proceedings of the 2025 ACM Conference on Fairness, Accountability, and Transparency, 2025

A Benchmark for Client-level Fairness in Federated Learning.

Xenia Heilmann, Luca Corbucci, Mattia Cerrato

Proceedings of the European Workshop on Algorithmic Fairness, 2025

2024

Differentially Private Sum-Product Networks.

Xenia Heilmann, Mattia Cerrato, Ernst Althaus

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Studying Privacy Aspects of Learned Knowledge Bases in the Context of Synthetic and Medical Data.

Xenia Heilmann, Daan Apeldoorn, Konstantin Strauch, Bertil Schmidt, Timm Lilienthal, Torsten Panholzer

Proceedings of the German Medical Data Sciences 2024 - Health, 2024