Publications

2021

Li, Xiaoxiao; Jiang, Meirui; Zhang, Xiaofei; Kamp, Michael; Dou, Qi

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

Proceedings of the 9th International Conference on Learning Representations (ICLR), 2021.

(Abstract | Links | BibTeX | Tags: batch normalization, black-box parallelization, deep learning, federated learning)

2020

Heppe, Lukas; Kamp, Michael; Adilova, Linara; Piatkowski, Nico; Heinrich, Danny; Morik, Katharina

Resource-Constrained On-Device Learning by Dynamic Averaging (Workshop)

Proceedings of the Workshop on Parallel, Distributed, and Federated Learning (PDFL) at ECMLPKDD, 2020.

(Abstract | Links | BibTeX | Tags: black-box parallelization, distributed learning, edge computing, embedded, exponential family, FPGA, resource-efficient)

Petzka, Henning; Adilova, Linara; Kamp, Michael; Sminchisescu, Cristian

Feature-Robustness, Flatness and Generalization Error for Deep Neural Networks (Unpublished)

2020.

(Links | BibTeX | Tags: deep learning, flatness, generalization, learning theory, loss surface, neural networks, robustness)

Welke, Pascal; Seiffarth, Florian; Kamp, Michael; Wrobel, Stefan

HOPS: Probabilistic Subtree Mining for Small and Large Graphs (Inproceedings)

In: Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, pp. 1275–1284, Association for Computing Machinery, Virtual Event, CA, USA, 2020, ISBN: 9781450379984.

(Abstract | Links | BibTeX | Tags: )

2019

Kamp, Michael

Black-Box Parallelization for Machine Learning (PhD Thesis)

Universitäts-und Landesbibliothek Bonn, 2019.

(Abstract | Links | BibTeX | Tags: averaging, black-box, communication-efficient, convex optimization, deep learning, distributed, dynamic averaging, federated, learning theory, machine learning, parallelization, privacy, radon machine)

Adilova, Linara; Natious, Livin; Chen, Siming; Thonnard, Olivier; Kamp, Michael

System Misuse Detection via Informed Behavior Clustering and Modeling (Workshop)

2019 49th Annual IEEE/IFIP International Conference on Dependable Systems and Networks Workshops (DSN-W), IEEE 2019.

(Links | BibTeX | Tags: anomaly detection, cybersecurity, DiSIEM, security, user behavior modelling, visualization)

Petzka, Henning; Adilova, Linara; Kamp, Michael; Sminchisescu, Cristian

A Reparameterization-Invariant Flatness Measure for Deep Neural Networks (Workshop)

Science meets Engineering of Deep Learning workshop at NeurIPS, 2019.

(Links | BibTeX | Tags: deep learning, flatness, generalization, learning theory, loss surface, neural networks, robustness)

Adilova, Linara; Rosenzweig, Julia; Kamp, Michael

Information Theoretic Perspective of Federated Learning (Workshop)

NeurIPS Workshop on Information Theory and Machine Learning, 2019.

(Links | BibTeX | Tags: )

2018

Giesselbach, Sven; Ullrich, Katrin; Kamp, Michael; Paurat, Daniel; Gärtner, Thomas

Corresponding Projections for Orphan Screening (Workshop)

Proceedings of the ML4H workshop at NeurIPS, 2018.

(Links | BibTeX | Tags: corresponding projections, transfer learning, unsupervised)

Nguyen, Phong H.; Chen, Siming; Andrienko, Natalia; Kamp, Michael; Adilova, Linara; Andrienko, Gennady; Thonnard, Olivier; Bessani, Alysson; Turkay, Cagatay

Designing Visualisation Enhancements for SIEM Systems (Workshop)

15th IEEE Symposium on Visualization for Cyber Security – VizSec, 2018.

(Links | BibTeX | Tags: DiSIEM, SIEM, visual analytics, visualization)

Kamp, Michael; Adilova, Linara; Sicking, Joachim; Hüger, Fabian; Schlicht, Peter; Wirtz, Tim; Wrobel, Stefan

Efficient Decentralized Deep Learning by Dynamic Model Averaging (Inproceedings)

In: Machine Learning and Knowledge Discovery in Databases, Springer, 2018.

(Abstract | Links | BibTeX | Tags: decentralized, deep learning, federated learning)

2017

Gunar Ernis, Michael Kamp

Machine Learning für die smarte Produktion (Journal Article)

In: VDMA-Nachrichten, pp. 36-37, 2017.

(Links | BibTeX | Tags: industry 4.0, machine learning, smart production)

Flouris, Ioannis; Giatrakos, Nikos; Deligiannakis, Antonios; Garofalakis, Minos; Kamp, Michael; Mock, Michael

Issues in Complex Event Processing: Status and Prospects in the Big Data Era (Journal Article)

In: Journal of Systems and Software, 2017.

(BibTeX | Tags: )

Kamp, Michael; Boley, Mario; Missura, Olana; Gärtner, Thomas

Effective Parallelisation for Machine Learning (Inproceedings)

In: Advances in Neural Information Processing Systems, pp. 6480–6491, 2017.

(Abstract | Links | BibTeX | Tags: decentralized, distributed, machine learning, parallelization, radon)

Ullrich, Katrin; Kamp, Michael; Gärtner, Thomas; Vogt, Martin; Wrobel, Stefan

Co-regularised support vector regression (Inproceedings)

In: Joint European Conference on Machine Learning and Knowledge Discovery in Databases, pp. 338–354, Springer 2017.

(Links | BibTeX | Tags: co-regularization, transfer learning, unsupervised)

2016

Kamp, Michael; Bothe, Sebastian; Boley, Mario; Mock, Michael

Communication-Efficient Distributed Online Learning with Kernels (Conference)

Machine Learning and Knowledge Discovery in Databases, Springer International Publishing, 2016.

(Abstract | Links | BibTeX | Tags: communication-efficient, distributed, dynamic averaging, federated learning, kernel methods, parallelization)

Ullrich, Katrin; Kamp, Michael; Gärtner, Thomas; Vogt, Martin; Wrobel, Stefan

Ligand-based virtual screening with co-regularised support Vector Regression (Inproceedings)

In: 2016 IEEE 16th international conference on data mining workshops (ICDMW), pp. 261–268, IEEE 2016.

(Abstract | Links | BibTeX | Tags: biology, chemistry, corresponding projections, semi-supervised)

2015

Kamp, Michael; Boley, Mario; Gärtner, Thomas

Parallelizing Randomized Convex Optimization (Workshop)

Proceedings of the 8th NIPS Workshop on Optimization for Machine Learning, 2015.

(Links | BibTeX | Tags: )

2014

Boley, Thomas Gärtner Michael Kamp Mario

Beating Human Analysts in Nowcasting Corporate Earnings by using Publicly Available Stock Price and Correlation Features (Inproceedings)

In: Proceedings of the SIAM International Conference on Data Mining, pp. 641–649, SIAM 2014.

(Links | BibTeX | Tags: )

Kamp, Michael; Boley, Mario; Keren, Daniel; Schuster, Assaf; Sharfman, Izchak

Communication-Efficient Distributed Online Prediction by Dynamic Model Synchronization (Inproceedings)

In: European Conference on Machine Learning and Principles and Practice of Knowledge Discovery (ECMLPKDD), Springer 2014.

(BibTeX | Tags: )

Kamp, Michael; Boley, Mario; Mock, Michael; Keren, Daniel; Schuster, Assaf; Sharfman, Izchak

Adaptive Communication Bounds for Distributed Online Learning (Workshop)

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

(Links | BibTeX | Tags: )

2013

Kamp, Michael; Kopp, Christine; Mock, Michael; Boley, Mario; May, Michael

Privacy-preserving mobility monitoring using sketches of stationary sensor readings (Inproceedings)

In: Joint European Conference on Machine Learning and Knowledge Discovery in Databases, pp. 370–386, Springer 2013.

(BibTeX | Tags: )

Kamp, Michael; Boley, Mario; Gärtner, Thomas

Beating Human Analysts in Nowcasting Corporate Earnings by Using Publicly Available Stock Price and Correlation Features (Workshop)

2013 IEEE 13th International Conference on Data Mining Workshops, IEEE 2013.

(BibTeX | Tags: )

Boley, Mario; Kamp, Michael; Keren, Daniel; Schuster, Assaf; Sharfman, Izchak

Communication-Efficient Distributed Online Prediction using Dynamic Model Synchronizations. (Workshop)

First Internation Workshop on Big Dynamic Distributed Data (BD3) at the Internation Conference on Very Large Data Bases (VLDB), 2013.

(BibTeX | Tags: )

Kamp, Michael; Manea, Andrei

STONES: Stochastic Technique for Generating Songs (Workshop)

Proceedings of the NIPS Workshop on Constructive Machine Learning (CML), 2013.

(BibTeX | Tags: )