Thomas Hießl
TU Wien(AT)Siemens (Austria)(AT)
Publications by Year
Research Areas
Privacy-Preserving Technologies in Data, Mobile Crowdsensing and Crowdsourcing, IoT and Edge/Fog Computing, Big Data and Digital Economy, Cryptography and Data Security
Most-Cited Works
- → Roadmap for edge AI(2022)60 cited
- → Cohort-based federated learning services for industrial collaboration on the edge(2022)29 cited
- → Optimal Placement of Stream Processing Operators in the Fog(2019)26 cited
- → Evaluation of Hyperparameter-Optimization Approaches in an Industrial Federated Learning System(2022)14 cited
- → Towards a Framework for Data Stream Processing in the Fog(2019)10 cited
- → Explainable Federated Learning: A Lifecycle Dashboard for Industrial Settings(2023)8 cited
- → Industrial Federated Learning – Requirements and System Design(2020)7 cited
- → Lifecycle Management of Federated Learning Artifacts in Industrial Applications(2023)4 cited
- → An Edge Deployment Framework to Scale AI in Industrial Applications(2023)4 cited