Towards a Trust-aware Item Recommendation System on a Graph Autoencoder with Attention Mechanism. - Elnaz Meydani; Christoph Düsing; Matthias Trier (Wirtschaftsinformatik, 2021)

On the Trade-off Between Benefit and Contribution for Clients in Federated Learning in Healthcare. - Christoph Düsing; Philipp Cimiano (ICMLA, 2022)

The "Black Box" of Social Commerce Platforms - A Closer Look at Users' Activities. - Elnaz Meydani; Christoph Düsing; Annamaria Fedrau; Matthias Trier (Wirtschaftsinformatik, 2022)

Federated Learning to Improve Counterfactual Explanations for Sepsis Treatment Prediction. - Christoph Düsing; Philipp Cimiano (AIME, 2023)

Leveraging Local Data Sampling Strategies to Improve Federated Learning (Extended Abstract). - Christoph Düsing; Philipp Cimiano; Benjamin Paaßen (DSAA, 2024)

Design of an Explainable Input Control for Cross-Company Federated Learning. - Christoph Düsing; Marco Röder; Frédéric Thiesse; Philipp Cimiano (ECIS, 2024)

Monitoring Concept Drift in Continuous Federated Learning Platforms. - Christoph Düsing; Philipp Cimiano (IDA (2), 2024)

An Empirical Investigation of Users' Assessment of XAI Explanations: Identifying the Sweet Spot of Explanation Complexity and Value. - Felix Liedeker; Christoph Düsing; Marcel Nieveler; Philipp Cimiano (xAI (Late-breaking Work, Demos, Doctoral Consortium), 2024)

Integrating federated learning for improved counterfactual explanations in clinical decision support systems for sepsis therapy. - Christoph Düsing; Philipp Cimiano; Sebastian Rehberg; Christiane Scherer; Olaf Kaup; Christiane Köster; Stefan Hellmich; Daniel Herrmann; Kirsten Laura Meier; Simon Claßen; Rainer Borgstedt (Artif. Intell. Medicine, 2024)

SHAP-FL: Improving Explainability for Multicentric Sepsis Onset Prediction Through Background Dataset Synthesis. - Christoph Düsing; Philipp Cimiano (AIME (1), 2025)

Rethinking federated learning as a digital platform for dynamic and value-driven participation. - Christoph Düsing; Philipp Cimiano (Future Gener. Comput. Syst., 2025)

Modeling higher-order social influence using multi-head graph attention autoencoder. - Elnaz Meydani; Christoph Düsing; Matthias Trier (Inf. Syst., 2025)

Leveraging local data sampling strategies to improve federated learning. - Christoph Düsing; Philipp Cimiano; Benjamin Paaßen (Int. J. Data Sci. Anal., 2025)