VSL: A Data-Centric Internet of Things Overlay. - Marc-Oliver Pahl; Stefan Liebald; Christian Lübben (NetSys, 2019)

Using Deep Learning to Replace Domain Knowledge. - Christian Lübben; Marc-Oliver Pahl; Mohammad Irfan Khan (ISCC, 2020)

Advances in ML-Based Anomaly Detection for the IoT. - Christian Lübben; Marc-Oliver Pahl (CSNet, 2021)

Pipeline for Crowdsourced IoT Data-Modeling with AI-Supported Convergence. - Marc-Oliver Pahl; Florian Bauer; Christian Lübben (IM, 2021)

Resilience via Blackbox Self-Piloting Plants. - Michel Barbeau; Joaquín García-Alfaro; Christian Lübben; Marc-Oliver Pahl; Lars Wüstrich (C&ESAR, 2022)

Autonomous convergence mechanisms for collaborative crowd-sourced data-modeling. - Christian Lübben; Marc-Oliver Pahl (NOMS, 2022)

Continuous Microservice Re-Placement in the IoT. - Christian Lübben; Simon Schäffner; Marc-Oliver Pahl (NOMS, 2022)

Distributed Device-Specific Anomaly Detection using Deep Feed-Forward Neural Networks. - Christian Lübben; Marc-Oliver Pahl (NOMS, 2023)

Distributed Device-Specific Anomaly Detection for Resource-Constrained Devices. - Christian Lübben; Marc-Oliver Pahl (NOMS, 2023)

Similarity-Based Selective Federated Learning for Distributed Device-Specific Anomaly Detection. - Christian Lübben; Marc-Oliver Pahl (NOMS, 2024)