7 citations · 11 across the 6 of their papers we have counts for
3 papers · 1 filter
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…
Optimizing Convergence for Iterative Learning of ARIMA for Stationary Time Series
Kevin Styp-Rekowski, Florian Schmidt, Odej Kao
Forecasting of time series in continuous systems becomes an increasingly relevant task due to recent developments in IoT and 5G. The popular forecasting model ARIMA is applied to a…