Thomas Blumauer-Hiessl

According to our database, Thomas Blumauer-Hiessl authored at least 14 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Federated Learning Solution Blueprints for Use Cases Surveyed in Austrian Industries.

Thomas Blumauer-Hiessl, Angela Fessl, Gert Breitfuss, Daniel Schall, Stefan Schulte

Proceedings of the 26th International Conference on Business Informatics, 2024

Platform-Agnostic MLOps on Edge, Fog and Cloud Platforms in Industrial IoT.

Alexander Keusch, Thomas Blumauer-Hiessl, Alireza Furutanpey, Daniel Schall, Schahram Dustdar

Proceedings of the 20th International Conference on Web Information Systems and Technologies, 2024

Federated Learning Deployments of Industrial Applications on Cloud, Fog, and Edge Resources.

Thomas Blumauer-Hiessl, Stefan Schulte, Safoura Rezapour Lakani, Alexander Keusch, Elias Pinter, Thomas Kaufmann, Daniel Schall

Proceedings of the 8th IEEE International Conference on Fog and Edge Computing, 2024

2023

Explainable Federated Learning: A Lifecycle Dashboard for Industrial Settings.

Michael Ungersböck, Thomas Hiessl, Daniel Schall, Florian Michahelles

IEEE Pervasive Comput., 2023

Edge Intelligence for Detecting Deviations in Batch-based Industrial Processes.

Alexander Keusch, Thomas Hiessl, Martin Joksch, Axel Sündermann, Daniel Schall, Stefan Schulte

Proceedings of the 21st IEEE International Conference on Industrial Informatics, 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

Proceedings of the 7th IEEE International Conference on Fog and Edge Computing, 2023

Lifecycle Management of Federated Learning Artifacts in Industrial Applications.

Thomas Hiessl, Safoura Rezapour Lakani, Michael Ungersböck, Jana Kemnitz, Daniel Schall, Stefan Schulte

Proceedings of the 7th IEEE International Conference on Fog and Edge Computing, 2023

2022

Cohort-based federated learning services for industrial collaboration on the edge.

Thomas Hiessl, Safoura Rezapour Lakani, Jana Kemnitz, Daniel Schall, Stefan Schulte

J. Parallel Distributed Comput., 2022

Roadmap for edge AI: a Dagstuhl perspective.

Aaron Yi Ding, Ella Peltonen, Tobias Meuser, Atakan Aral, Christian Becker, Schahram Dustdar, Thomas Hiessl, Dieter Kranzlmüller, Madhusanka Liyanage, Setareh Maghsudi, Nitinder Mohan, Jörg Ott, Jan S. Rellermeyer, Stefan Schulte, Henning Schulzrinne, Gürkan Solmaz, Sasu Tarkoma, Blesson Varghese, Lars C. Wolf

Comput. Commun. Rev., 2022

2021

Roadmap for Edge AI: A Dagstuhl Perspective.

Aaron Yi Ding, Ella Peltonen, Tobias Meuser, Atakan Aral, Christian Becker, Schahram Dustdar, Thomas Hiessl, Dieter Kranzlmüller, Madhusanka Liyanage, Setareh Magshudi, Nitinder Mohan, Jörg Ott, Jan S. Rellermeyer, Stefan Schulte, Henning Schulzrinne, Gürkan Solmaz, Sasu Tarkoma, Blesson Varghese, Lars C. Wolf

CoRR, 2021

Evaluation of Hyperparameter-Optimization Approaches in an Industrial Federated Learning System.

Stephanie Holly, Thomas Hiessl, Safoura Rezapour Lakani, Daniel Schall, Clemens Heitzinger, Jana Kemnitz

CoRR, 2021

2020

Industrial Federated Learning - Requirements and System Design.

Thomas Hiessl, Daniel Schall, Jana Kemnitz, Stefan Schulte

Proceedings of the Highlights in Practical Applications of Agents, Multi-Agent Systems, and Trust-worthiness. The PAAMS Collection, 2020

2019

Towards a Framework for Data Stream Processing in the Fog.

Thomas Hießl, Christoph Hochreiner, Stefan Schulte

Inform. Spektrum, 2019

Optimal Placement of Stream Processing Operators in the Fog.

Thomas Hiessl, Vasileios Karagiannis, Christoph Hochreiner, Stefan Schulte, Matteo Nardelli

Proceedings of the 3rd IEEE International Conference on Fog and Edge Computing, 2019