10 citations · 18 across the 6 of their papers we have counts for
6 papers
Federated Learning for Autoencoder-based Condition Monitoring in the Industrial Internet of Things
Soeren Becker, Kevin Styp-Rekowski, Oliver Vincent Leon Stoll +1
Enabled by the increasing availability of sensor data monitored from production machinery, condition monitoring and predictive maintenance methods are key pillars for an efficient…
SyncMesh: Improving Data Locality for Function-as-a-Service in Meshed Edge Networks
Daniel Habenicht, Kevin Kreutz, Soeren Becker +3
The increasing use of Internet of Things devices coincides with more communication and data movement in networks, which can exceed existing network capabilities. These devices ofte…
Efficient Runtime Profiling for Black-box Machine Learning Services on Sensor Streams
Soeren Becker, Dominik Scheinert, Florian Schmidt +1
In highly distributed environments such as cloud, edge and fog computing, the application of machine learning for automating and optimizing processes is on the rise. Machine learni…
LOS: Local-Optimistic Scheduling of Periodic Model Training For Anomaly Detection on Sensor Data Streams in Meshed Edge Networks
Soeren Becker, Florian Schmidt, Lauritz Thamsen +2
Anomaly detection is increasingly important to handle the amount of sensor data in Edge and Fog environments, Smart Cities, as well as in Industry 4.0. To ensure good results, the…
Towards a Cognitive Compute Continuum: An Architecture for Ad-Hoc Self-Managed Swarms
Ana Juan Ferrer, Soeren Becker, Florian Schmidt +2
In this paper we introduce our vision of a Cognitive Computing Continuum to address the changing IT service provisioning towards a distributed, opportunistic, self-managed collabor…
Artificial Intelligence for IT Operations (AIOPS) Workshop White Paper
Jasmin Bogatinovski, Sasho Nedelkoski, Alexander Acker +5
Artificial Intelligence for IT Operations (AIOps) is an emerging interdisciplinary field arising in the intersection between the research areas of machine learning, big data, strea…