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Christian Lübben
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2020 – today
- 2024
- [c10]Christian Lübben, Marc-Oliver Pahl:
Similarity-Based Selective Federated Learning for Distributed Device-Specific Anomaly Detection. NOMS 2024: 1-5 - 2023
- [c9]Christian Lübben, Marc-Oliver Pahl
:
Distributed Device-Specific Anomaly Detection using Deep Feed-Forward Neural Networks. NOMS 2023: 1-9 - [c8]Christian Lübben, Marc-Oliver Pahl
:
Distributed Device-Specific Anomaly Detection for Resource-Constrained Devices. NOMS 2023: 1-3 - 2022
- [c7]Michel Barbeau, Joaquín García-Alfaro, Christian Lübben, Marc-Oliver Pahl, Lars Wüstrich:
Resilience via Blackbox Self-Piloting Plants. C&ESAR 2022: 35-46 - [c6]Christian Lübben, Marc-Oliver Pahl
:
Autonomous convergence mechanisms for collaborative crowd-sourced data-modeling. NOMS 2022: 1-5 - [c5]Christian Lübben, Simon Schäffner, Marc-Oliver Pahl
:
Continuous Microservice Re-Placement in the IoT. NOMS 2022: 1-6 - 2021
- [c4]Christian Lübben, Marc-Oliver Pahl
:
Advances in ML-Based Anomaly Detection for the IoT. CSNet 2021: 18-22 - [c3]Marc-Oliver Pahl
, Florian Bauer, Christian Lübben:
Pipeline for Crowdsourced IoT Data-Modeling with AI-Supported Convergence. IM 2021: 702-706 - 2020
- [c2]Christian Lübben, Marc-Oliver Pahl
, Mohammad Irfan Khan:
Using Deep Learning to Replace Domain Knowledge. ISCC 2020: 1-6
2010 – 2019
- 2019
- [c1]Marc-Oliver Pahl
, Stefan Liebald, Christian Lübben:
VSL: A Data-Centric Internet of Things Overlay. NetSys 2019: 1-3
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