Christoph Düsing
Orcid: 0000-0002-7817-9448
According to our database1,
Christoph Düsing authored at least 20 papers
between 2021 and 2026.
Collaborative distances:
Collaborative distances:
Timeline
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Bibliography
2026
CoRR, March, 2026
Proceedings of the Advances in Intelligent Data Analysis XXIV, 2026
2025
Int. J. Data Sci. Anal., September, 2025
CoRR, September, 2025
Federated Markov Imputation: Privacy-Preserving Temporal Imputation in Multi-Centric ICU Environments.
CoRR, September, 2025
Federated Learning Platforms for Dynamic and Value-Driven Participation in Privacy-Preserving Machine Learning.
PhD thesis, 2025
Inf. Syst., 2025
Rethinking federated learning as a digital platform for dynamic and value-driven participation.
Future Gener. Comput. Syst., 2025
Towards Lightweight Input Control for Cross-Device Federated Learning With Dynamic Participation.
Proceedings of the Federated Learning and Edge AI for Privacy and Mobility, 2025
SHAP-FL: Improving Explainability for Multicentric Sepsis Onset Prediction Through Background Dataset Synthesis.
Proceedings of the Artificial Intelligence in Medicine - 23rd International Conference, 2025
Proceedings of the Artificial Intelligence for Biomedical Data, 2025
2024
Integrating federated learning for improved counterfactual explanations in clinical decision support systems for sepsis therapy.
Artif. Intell. Medicine, 2024
An Empirical Investigation of Users' Assessment of XAI Explanations: Identifying the Sweet Spot of Explanation Complexity and Value.
Proceedings of the Joint Proceedings of the xAI 2024 Late-breaking Work, 2024
Proceedings of the Advances in Intelligent Data Analysis XXII, 2024
Proceedings of the 32nd European Conference on Information Systems, 2024
Leveraging Local Data Sampling Strategies to Improve Federated Learning (Extended Abstract).
Proceedings of the 11th IEEE International Conference on Data Science and Advanced Analytics, 2024
2023
Federated Learning to Improve Counterfactual Explanations for Sepsis Treatment Prediction.
Proceedings of the Artificial Intelligence in Medicine, 2023
2022
Proceedings of the WI for Grand Challenges, 2022
On the Trade-off Between Benefit and Contribution for Clients in Federated Learning in Healthcare.
Proceedings of the 21st IEEE International Conference on Machine Learning and Applications, 2022
2021
Towards a Trust-aware Item Recommendation System on a Graph Autoencoder with Attention Mechanism.
Proceedings of the Innovation durch Informationssysteme, 2021