Michael Kamp
Michael Kamp
Institute for AI in Medicine (IKIM) at UK Essen and Ruhr-University Bochum
Verified email at - Homepage
Cited by
Cited by
FedBN: Federated Learning on non-IID Features via Local Batch Normalization
X Li, M Jiang, X Zhang, M Kamp, Q Dou
International Conference on Learning Representations, 2021
Efficient Decentralized Deep Learning by Dynamic Model Averaging
M Kamp, L Adilova, J Sicking, F Hüger, P Schlicht, T Wirtz, S Wrobel
Joint European Conference on Machine Learning and Principles and Practice of …, 2018
Issues in complex event processing: Status and prospects in the Big Data era
I Flouris, N Giatrakos, A Deligiannakis, M Garofalakis, M Kamp, M Mock
Journal of Systems and Software 127, 217-236, 2017
Relative Flatness and Generalization
H Petzka, M Kamp, L Adilova, C Sminchisescu, M Boley
Advances in Neural Information Processing Systems 34, 2021
Communication-Efficient Distributed Online Prediction by Dynamic Model Synchronization
M Kamp, M Boley, D Keren, A Schuster, I Sharfman
European Conference on Machine Learning and Principles and Practice of …, 2014
Federated Learning from Small Datasets
M Kamp, J Fischer, J Vreeken
International Conference on Learning Representations (ICLR), 2023
Privacy-preserving mobility monitoring using sketches of stationary sensor readings
M Kamp, C Kopp, M Mock, M Boley, M May
Machine Learning and Knowledge Discovery in Databases: European Conference …, 2013
STONES: Stochastic Technique for Generating Songs
M Kamp, A Manea
Workshop on Constructive Machine Learning (CML) at the Neural Information …, 2013
Effective Parallelisation for Machine Learning
M Kamp, M Boley, O Missura, T Gärtner
Advances in Neural Information Processing Systems, 6459-6470, 2017
When, where and how does it fail? a spatial-temporal visual analytics approach for interpretable object detection in autonomous driving
J Wang, Y Li, Z Zhou, C Wang, Y Hou, L Zhang, X Xue, M Kamp, ...
IEEE Transactions on Visualization and Computer Graphics 29 (12), 5033-5049, 2022
Communication-efficient distributed online learning with kernels
M Kamp, S Bothe, M Boley, M Mock
Machine Learning and Knowledge Discovery in Databases: European Conference …, 2016
Approaches to Uncertainty Quantification in Federated Deep Learning
F Linsner, L Adilova, S Däubener, M Kamp, A Fischer
Workshop on Parallel, Distributed, and Federated Learning (PDFL) at ECMLPKDD, 2021
MedShapeNet--A Large-Scale Dataset of 3D Medical Shapes for Computer Vision
J Li, A Pepe, C Gsaxner, G Luijten, Y Jin, N Ambigapathy, E Nasca, ...
arXiv preprint arXiv:2308.16139, 2023
Black-Box Parallelization for Machine Learning
M Kamp
Rheinische Friedrich-Wilhelms-Universität Bonn, 2019
System Misuse Detection via Informed Behavior Clustering and Modeling
L Adilova, L Natious, S Chen, O Thonnard, M Kamp
2019 49th Annual IEEE/IFIP International Conference on Dependable Systems …, 2019
HOPS: Probabilistic Subtree Mining for Small and Large Graphs
P Welke, F Seiffarth, M Kamp, S Wrobel
Proceedings of the 26th ACM SIGKDD International Conference on Knowledge …, 2020
Adaptive Communication Bounds for Distributed Online Learning
M Kamp, M Boley, M Mock, D Keren, A Schuster, I Sharfman
Proceedings of the 7th NIPS Workshop on Optimization for Machine Learning, 2014
Communication-Efficient Distributed Online Prediction using Dynamic Model Synchronizations.
M Boley, M Kamp, D Keren, A Schuster, I Sharfman
First Internation Workshop on Big Dynamic Distributed Data (BD3) at the …, 2013
ECML PKDD 2020 Workshops: Workshops of the European Conference on Machine Learning and Knowledge Discovery in Databases (ECML PKDD 2020): SoGood 2020, PDFL 2020, MLCS 2020 …
I Koprinska, M Kamp, A Appice, C Loglisci, L Antonie, A Zimmermann, ...
Springer Nature, 2021
A Reparameterization-Invariant Flatness Measure for Deep Neural Networks
H Petzka, L Adilova, M Kamp, C Sminchisescu
Science meets Engineering of Deep Learning workshop at NeurIPS, 2019
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