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Michael Kamp

CISPA Helmholtz Center for Information Security

Federated Learning from Small Datasets


Nov 02, 2021
Michael Kamp , Jonas Fischer , Jilles Vreeken


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TsmoBN: Interventional Generalization for Unseen Clients in Federated Learning


Oct 19, 2021
Meirui Jiang , Xiaofei Zhang , Michael Kamp , Xiaoxiao Li , Qi Dou


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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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