| Roadmap for edge ai: A dagstuhl perspective AY Ding, E Peltonen, T Meuser, A Aral, C Becker, S Dustdar, T Hiessl, ... ACM SIGCOMM Computer Communication Review 52 (1), 28-33, 2022 | 71 | 2022 |
| Industrial federated learning–requirements and system design T Hiessl, D Schall, J Kemnitz, S Schulte International Conference on Practical Applications of Agents and Multi-Agent …, 2020 | 41 | 2020 |
| Optimal placement of stream processing operators in the fog T Hiessl, V Karagiannis, C Hochreiner, S Schulte, M Nardelli 2019 IEEE 3rd International Conference on Fog and Edge Computing (ICFEC), 1-10, 2019 | 40 | 2019 |
| Cohort-based federated learning services for industrial collaboration on the edge T Hiessl, SR Lakani, J Kemnitz, D Schall, S Schulte Journal of parallel and distributed computing 167, 64-76, 2022 | 29 | 2022 |
| Evaluation of hyperparameter-optimization approaches in an industrial federated learning system S Holly, T Hiessl, SR Lakani, D Schall, C Heitzinger, J Kemnitz International Data Science Conference, 6-13, 2021 | 22 | 2021 |
| Towards a framework for data stream processing in the fog T Hießl, C Hochreiner, S Schulte Informatik Spektrum 42, 256-265, 2019 | 15 | 2019 |
| Explainable federated learning: A lifecycle dashboard for industrial settings M Ungersböck, T Hiessl, D Schall, F Michahelles IEEE Pervasive Computing 22 (1), 19-28, 2023 | 8 | 2023 |
| An Edge Deployment Framework to Scale AI in Industrial Applications J Kemnitz, A Weissenfeld, L Schoeffl, A Stiftinger, D Rechberger, B Prangl, ... 2023 IEEE 7th International Conference on Fog and Edge Computing (ICFEC), 24-32, 2023 | 3 | 2023 |
| Lifecycle Management of Federated Learning Artifacts in Industrial Applications T Hiessl, SR Lakani, M Ungersboeck, J Kemnitz, D Schall, S Schulte 2023 IEEE 7th International Conference on Fog and Edge Computing (ICFEC), 7-15, 2023 | 2 | 2023 |
| Optimizing the placement of stream processing operators in the fog T Hiessl Wien, 2017 | 2 | 2017 |
| Method and System for Operating a Technical Installation with an Optimal Model D Schall, T HIEßL, J Kemnitz US Patent App. 17/237,157, 2021 | 1 | 2021 |
| Computer-Implemented Method and System for Operating a Technical Device SR LAKANI, T Blumauer-hießl, E Jana, D Schall US Patent App. 18/641,572, 2024 | | 2024 |
| Federated Learning Deployments of Industrial Applications on Cloud, Fog, and Edge Resources T Blumauer-Hiessl, S Schulte, SR Lakani, A Keusch, E Pinter, ... 2024 IEEE 8th International Conference on Fog and Edge Computing (ICFEC), 19-26, 2024 | | 2024 |
| Edge Intelligence for Detecting Deviations in Batch-based Industrial Processes A Keusch, T Hiessl, M Joksch, A Sündermann, D Schall, S Schulte 2023 IEEE 21st International Conference on Industrial Informatics (INDIN), 1-8, 2023 | | 2023 |
| " Optimizing the Placement of Stream Processing Operators in the Fog"; Betreuer/in (nen): S. Schulte, C. Hochreiner; Institute of Information Systems, Distributed Systems Group … T Hiessl | | |
Stefan SchulteHamburg University of TechnologyVerified email at tuhh.de
