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Michael Kamp

CISPA Helmholtz Center for Information Security

Federated Learning from Small Datasets

Oct 07, 2021
Michael Kamp, Jonas Fischer, Jilles Vreeken

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Novelty Detection in Sequential Data by Informed Clustering and Modeling

Mar 05, 2021
Linara Adilova, Siming Chen, Michael Kamp

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FedBN: Federated Learning on Non-IID Features via Local Batch Normalization

Feb 15, 2021
Xiaoxiao Li, Meirui Jiang, Xiaofei Zhang, Michael Kamp, Qi Dou

* Accepted at ICLR 2021 

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Resource-Constrained On-Device Learning by Dynamic Averaging

Sep 25, 2020
Lukas Heppe, Michael Kamp, Linara Adilova, Danny Heinrich, Nico Piatkowski, Katharina Morik

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Feature-Robustness, Flatness and Generalization Error for Deep Neural Networks

Jan 07, 2020
Henning Petzka, Linara Adilova, Michael Kamp, Cristian Sminchisescu

* arXiv admin note: substantial text overlap with arXiv:1912.00058 

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A Reparameterization-Invariant Flatness Measure for Deep Neural Networks

Nov 29, 2019
Henning Petzka, Linara Adilova, Michael Kamp, Cristian Sminchisescu

* 14 pages; accepted at Workshop "Science meets Engineering of Deep Learning", 33rd Conference on Neural Information Processing Systems (NeurIPS 2019) 

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Communication-Efficient Distributed Online Learning with Kernels

Nov 28, 2019
Michael Kamp, Sebastian Bothe, Mario Boley, Michael Mock

* Machine Learning and Knowledge Discovery in Databases. ECML PKDD 2016 

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Adaptive Communication Bounds for Distributed Online Learning

Nov 28, 2019
Michael Kamp, Mario Boley, Michael Mock, Daniel Keren, Assaf Schuster, Izchak Sharfman

* Proceedings of the 7th NIPS Workshop on Optimization for Machine Learning, 2014 

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Information-Theoretic Perspective of Federated Learning

Nov 15, 2019
Linara Adilova, Julia Rosenzweig, Michael Kamp

* 5 pages, 8 figures Workshop on Information Theory and Machine Learning, 33rd Conference on Neural Information Processing Systems (NeurIPS 2019), Vancouver, Canada 

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System Misuse Detection via Informed Behavior Clustering and Modeling

Jul 01, 2019
Linara Adilova, Livin Natious, Siming Chen, Olivier Thonnard, Michael Kamp

* 9 pages including appendix, DSN Workshop on Data-Centric Dependability and Security (

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Corresponding Projections for Orphan Screening

Nov 30, 2018
Sven Giesselbach, Katrin Ullrich, Michael Kamp, Daniel Paurat, Thomas Gärtner

* Machine Learning for Health (ML4H) Workshop at NeurIPS 2018 arXiv:cs/0101200 

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Effective Parallelisation for Machine Learning

Oct 08, 2018
Michael Kamp, Mario Boley, Olana Missura, Thomas Gärtner

* Advances in Neural Information Processing Systems, 2017 

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Efficient Decentralized Deep Learning by Dynamic Model Averaging

Jul 09, 2018
Michael Kamp, Linara Adilova, Joachim Sicking, Fabian Hüger, Peter Schlicht, Tim Wirtz, Stefan Wrobel

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