Michael Kamp

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Linara AdilovaPhD student, Ruhr University BochumVerified email at ruhr-uni-bochum.de
Mario BoleyUniversity of Haifa, Monash UniversityVerified email at is.haifa.ac.il
Meirui JiangThe Chinese University of Hong KongVerified email at cse.cuhk.edu.hk
Qi DOUAssistant Professor, The Chinese University of Hong KongVerified email at cse.cuhk.edu.hk
Xiaoxiao LiAssistant Professor, UBC; Vector Institute; CIFAR AI Chair; Canada Research ChairVerified email at ece.ubc.ca
Stefan WrobelFraunhofer IAIS and University of BonnVerified email at iais.fraunhofer.de
Jilles VreekenCISPA Helmholtz Center for Information SecurityVerified email at cispa.de
Henning PetzkaPost doctoral position, RWTH Aachen UniversityVerified email at cs.rwth-aachen.de
Cristian SminchisescuScientist at Google DeepMind; Professor, Lund UniversityVerified email at math.lth.se
Assaf SchusterProfessor of Computer Science, TechnionVerified email at technion.ac.il
Thomas GärtnerTU Wien (Technical University of Vienna)Verified email at tuwien.ac.at
Siming ChenAssociate Professor at Fudan UniversityVerified email at fudan.edu.cn
Fabian HügerCARIAD SEVerified email at cariad.technology
Tim WirtzFraunhofer IAISVerified email at iais.fraunhofer.de
Peter SchlichtVolkswagen Group Research, CARIADVerified email at cariad.technology
Nikos GiatrakosAsst. Professor, School of ECE, Technical University of Crete; Adjunct Researcher, IMSI, Athena RCVerified email at softnet.tuc.gr
Antonios DeligiannakisProfessor of Computer Science, Technical University of CreteVerified email at softnet.tuc.gr
Minos GarofalakisDirector, IMSI, Athena RC; Professor, School of ECE, TU CreteVerified email at softnet.tuc.gr
Ioannis FlourisTechnical University of CreteVerified email at softnet.tuc.gr
Asja FischerProfessor for Machine Learning, Ruhr University BochumVerified email at ini.rub.de

Michael Kamp

Institute for AI in Medicine (IKIM) at UK Essen and Ruhr-University Bochum

Verified email at uk-essen.de - Homepage

federated learning statistical learning theory theory of deep learning trustworthy AI cybersecurity


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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	913	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	163	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	155	2017
Relative Flatness and Generalization H Petzka, M Kamp, L Adilova, C Sminchisescu, M Boley Advances in Neural Information Processing Systems 34, 2021	78	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	48	2014
Federated Learning from Small Datasets M Kamp, J Fischer, J Vreeken International Conference on Learning Representations (ICLR), 2023	38	2023
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	25	2022
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	24	2013
MedShapeNet--A large-scale dataset of 3D medical shapes for computer vision J Li, Z Zhou, J Yang, A Pepe, C Gsaxner, G Luijten, C Qu, T Zhang, ... arXiv preprint arXiv:2308.16139, 2023	22	2023
STONES: Stochastic Technique for Generating Songs M Kamp, A Manea Workshop on Constructive Machine Learning (CML) at the Neural Information …, 2013	22*	2013
Effective Parallelisation for Machine Learning M Kamp, M Boley, O Missura, T Gärtner Advances in Neural Information Processing Systems, 6459-6470, 2017	18	2017
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	15	2021
Layer-wise linear mode connectivity L Adilova, M Andriushchenko, M Kamp, A Fischer, M Jaggi International Conference on Learning Representations (ICLR), 2024	14	2024
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	11	2016
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	9	2019
Black-Box Parallelization for Machine Learning M Kamp Rheinische Friedrich-Wilhelms-Universität Bonn, 2019	9	2019
Information-Theoretic Causal Discovery and Intervention Detection over Multiple Environments O Mian, M Kamp, J Vreeken Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), 2023	7	2023
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	7	2019
Machine Learning and Principles and Practice of Knowledge Discovery in Databases: International Workshops of ECML PKDD 2021, Virtual Event, September 13-17, 2021, Proceedings … M Kamp, I Koprinska, A Bibal, T Bouadi, B Frénay, L Galárraga, J Oramas, ... Springer Nature, 2022	6*	2022
UniFed: A Unified Framework for Federated Learning on Non-IID Image Features M Jiang, X Li, X Zhang, M Kamp, Q Dou arXiv preprint arXiv:2110.09974, 2021	6*	2021

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