Feature-Based Dataset Fingerprinting for Clustered Federated Learning on Medical Image Data by Daniel Scheliga, Patrick Mäder, Marco Seeland

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Privacy preserving federated learning with convolutional variational bottlenecks by Daniel Scheliga, Patrick Mäder, Marco Seeland

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Deterministic reservoir computing for chaotic time series prediction by Johannes Viehweg, Constanze Poll, Patrick Mäder

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MagneticPillars++: Efficient LiDAR Odometry Via Deep Frame-To-Keyframe Point Cloud Registration by Kai Fischer, Martin Simon, Stefan Milz, Patrick Mäder

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Concept transfer of synaptic diversity from biological to artificial neural networks by Martin Hofmann, Moritz Franz Peter Becker, Christian Tetzlaff, Patrick Mäder

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Slim multi-scale convolutional autoencoder-based reduced-order models for interpretable features of a complex dynamical system by Philipp Teutsch, Philipp Pfeffer, Mohammad Sharifi Ghazijahani, Christian Cierpka, Jörg Schumacher, Patrick Mäder

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Large-scale-aware data augmentation for reduced-order models of high-dimensional flows by Philipp Teutsch, Mohammad Sharifi Ghazijahani, Florian Heyder, Christian Cierpka, Jörg Schumacher, Patrick Mäder

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Generating learning guides for medical education with LLMs and statistical analysis of test results by Iván Roselló Atanet, Mihaela Tomova, Miriam Sieg, Victoria Sehy, Patrick Mäder, Maren März

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