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Efficient Runtime Profiling for Black-box Machine Learning Services on
  Sensor Streams

Efficient Runtime Profiling for Black-box Machine Learning Services on Sensor Streams

10 March 2022
Soeren Becker
Dominik Scheinert
Florian Schmidt
O. Kao
ArXiv (abs)PDFHTML

Papers citing "Efficient Runtime Profiling for Black-box Machine Learning Services on Sensor Streams"

3 / 3 papers shown
Title
Towards a Peer-to-Peer Data Distribution Layer for Efficient and
  Collaborative Resource Optimization of Distributed Dataflow Applications
Towards a Peer-to-Peer Data Distribution Layer for Efficient and Collaborative Resource Optimization of Distributed Dataflow Applications
Dominik Scheinert
Soeren Becker
Jonathan Will
Luis Englaender
L. Thamsen
62
0
0
24 Nov 2023
Probabilistic Time Series Forecasting for Adaptive Monitoring in Edge
  Computing Environments
Probabilistic Time Series Forecasting for Adaptive Monitoring in Edge Computing Environments
Dominik Scheinert
B. S. Z. Aghdam
Soeren Becker
O. Kao
L. Thamsen
AI4TS
68
1
0
24 Nov 2022
Federated Learning for Autoencoder-based Condition Monitoring in the
  Industrial Internet of Things
Federated Learning for Autoencoder-based Condition Monitoring in the Industrial Internet of Things
Soeren Becker
K. Styp-Rekowski
O. Stoll
O. Kao
AI4CE
52
10
0
14 Nov 2022
1