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ORCIDThomas Blumauer-Hiessl
Person information
- affiliation: Siemens AG, Vienna, Austria
- affiliation (PhD 2017): TU Wien, Vienna, Austria
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2020 – today
- 2024
[c8]Thomas Blumauer-Hiessl, Stefan Schulte, Safoura Rezapour Lakani, Alexander Keusch, Elias Pinter, Thomas Kaufmann, Daniel Schall:
Federated Learning Deployments of Industrial Applications on Cloud, Fog, and Edge Resources. ICFEC 2024: 19-26- [c7]Alexander Keusch, Thomas Blumauer-Hiessl, Alireza Furutanpey, Daniel Schall, Schahram Dustdar:
Platform-Agnostic MLOps on Edge, Fog and Cloud Platforms in Industrial IoT. WEBIST 2024: 71-79 - [c6]Thomas Blumauer-Hiessl, Angela Fessl, Gert Breitfuss, Daniel Schall, Stefan Schulte:
Federated Learning Solution Blueprints for Use Cases Surveyed in Austrian Industries. CBI 2024: 80-89 - 2023
- [j4]Michael Ungersböck
, Thomas Hiessl, Daniel Schall, Florian Michahelles:
Explainable Federated Learning: A Lifecycle Dashboard for Industrial Settings. IEEE Pervasive Comput. 22(1): 19-28 (2023) - [c5]Thomas Hiessl, Safoura Rezapour Lakani, Michael Ungersböck, Jana Kemnitz, Daniel Schall, Stefan Schulte:
Lifecycle Management of Federated Learning Artifacts in Industrial Applications. ICFEC 2023: 7-15 - [c4]Jana Kemnitz, Axel Weissenfeld, Leopold Schoeffl, Andreas Stiftinger, Daniel Rechberger, Bernhard Prangl, Thomas Kaufmann, Thomas Hiessl, Stephanie Holly, Clemens Heistracher, Daniel Schall:
An Edge Deployment Framework to Scale AI in Industrial Applications. ICFEC 2023: 24-32 - [c3]Alexander Keusch, Thomas Hiessl, Martin Joksch, Axel Sündermann, Daniel Schall, Stefan Schulte:
Edge Intelligence for Detecting Deviations in Batch-based Industrial Processes. INDIN 2023: 1-8 - 2022
- [j3]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:
Roadmap for edge AI: a Dagstuhl perspective. Comput. Commun. Rev. 52(1): 28-33 (2022) - [j2]Thomas Hiessl, Safoura Rezapour Lakani, Jana Kemnitz, Daniel Schall, Stefan Schulte:
Cohort-based federated learning services for industrial collaboration on the edge. J. Parallel Distributed Comput. 167: 64-76 (2022) - 2021
- [i3]Stephanie Holly, Thomas Hiessl, Safoura Rezapour Lakani, Daniel Schall, Clemens Heitzinger, Jana Kemnitz:
Evaluation of Hyperparameter-Optimization Approaches in an Industrial Federated Learning System. CoRR abs/2110.08202 (2021) - [i2]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:
Roadmap for Edge AI: A Dagstuhl Perspective. CoRR abs/2112.00616 (2021) - 2020
- [c2]Thomas Hiessl, Daniel Schall, Jana Kemnitz, Stefan Schulte:
Industrial Federated Learning - Requirements and System Design. PAAMS (Workshops) 2020: 42-53 - [i1]Thomas Hiessl, Daniel Schall, Jana Kemnitz, Stefan Schulte:
Industrial Federated Learning - Requirements and System Design. CoRR abs/2005.06850 (2020)
2010 – 2019
- 2019
- [j1]Thomas Hießl, Christoph Hochreiner, Stefan Schulte:
Towards a Framework for Data Stream Processing in the Fog. Inform. Spektrum 42(4): 256-265 (2019) - [c1]Thomas Hiessl, Vasileios Karagiannis, Christoph Hochreiner, Stefan Schulte, Matteo Nardelli:
Optimal Placement of Stream Processing Operators in the Fog. ICFEC 2019: 1-10
Coauthor Index
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