Optimal Placement of Stream Processing Operators in the Fog. - Thomas Hiessl; Vasileios Karagiannis; Christoph Hochreiner; Stefan Schulte 002; Matteo Nardelli 001 (ICFEC, 2019)

Towards a Framework for Data Stream Processing in the Fog. - Thomas Hießl; Christoph Hochreiner; Stefan Schulte 002 (Inform. Spektrum, 2019)

Industrial Federated Learning - Requirements and System Design. - Thomas Hiessl; Daniel Schall 001; Jana Kemnitz; Stefan Schulte 002 (PAAMS (Workshops), 2020)

Evaluation of Hyperparameter-Optimization Approaches in an Industrial Federated Learning System. - Stephanie Holly; Thomas Hiessl; Safoura Rezapour Lakani; Daniel Schall 001; Clemens Heitzinger; Jana Kemnitz (CoRR, 2021)

Roadmap for Edge AI: A Dagstuhl Perspective. - Aaron Yi Ding; Ella Peltonen; Tobias Meuser; Atakan Aral; Christian Becker 001; Schahram Dustdar; Thomas Hiessl; Dieter Kranzlmüller; Madhusanka Liyanage; Setareh Magshudi; Nitinder Mohan; Jörg Ott; et al. (CoRR, 2021)

Roadmap for edge AI: a Dagstuhl perspective. - Aaron Yi Ding; Ella Peltonen; Tobias Meuser; Atakan Aral; Christian Becker 001; Schahram Dustdar; Thomas Hiessl; Dieter Kranzlmüller; Madhusanka Liyanage; Setareh Maghsudi; Nitinder Mohan; Jörg Ott; et al. (Comput. Commun. Rev., 2022)

Cohort-based federated learning services for industrial collaboration on the edge. - Thomas Hiessl; Safoura Rezapour Lakani; Jana Kemnitz; Daniel Schall 001; Stefan Schulte 002 (J. Parallel Distributed Comput., 2022)

Lifecycle Management of Federated Learning Artifacts in Industrial Applications. - Thomas Hiessl; Safoura Rezapour Lakani; Michael Ungersböck; Jana Kemnitz; Daniel Schall 001; Stefan Schulte 002 (ICFEC, 2023)

An Edge Deployment Framework to Scale AI in Industrial Applications. - Jana Kemnitz; Axel Weissenfeld; Leopold Schoeffl; Andreas Stiftinger; Daniel Rechberger; Bernhard Prangl; Thomas Kaufmann; Thomas Hiessl; Stephanie Holly; Clemens Heistracher; Daniel Schall 001 (ICFEC, 2023)

Edge Intelligence for Detecting Deviations in Batch-based Industrial Processes. - Alexander Keusch; Thomas Hiessl; Martin Joksch; Axel Sündermann; Daniel Schall 001; Stefan Schulte 002 (INDIN, 2023)

Explainable Federated Learning: A Lifecycle Dashboard for Industrial Settings. - Michael Ungersböck; Thomas Hiessl; Daniel Schall 001; Florian Michahelles (IEEE Pervasive Comput., 2023)

Federated Learning Deployments of Industrial Applications on Cloud, Fog, and Edge Resources. - Thomas Blumauer-Hiessl; Stefan Schulte 002; Safoura Rezapour Lakani; Alexander Keusch; Elias Pinter; Thomas Kaufmann; Daniel Schall 001 (ICFEC, 2024)

Platform-Agnostic MLOps on Edge, Fog and Cloud Platforms in Industrial IoT. - Alexander Keusch; Thomas Blumauer-Hiessl; Alireza Furutanpey; Daniel Schall 001; Schahram Dustdar (WEBIST, 2024)

Federated Learning Solution Blueprints for Use Cases Surveyed in Austrian Industries. - Thomas Blumauer-Hiessl; Angela Fessl; Gert Breitfuss; Daniel Schall 001; Stefan Schulte 002 (CBI, 2024)