• D. Khuu, M. Sober, D. Kaaser, M. Fischer, S. Schulte (2024). Data Poisoning Detection in Federated Learning. In The 39th ACM/SIGAPP Symposium on Applied Computing (SAC’24) (pp. nn-nn). ACM, New York, NY, USA.

  • T. Blumauer-Hiessl, S. Schulte, S. R. Lakani, A. Keusch, E. Pinter, T. Kaufmann and D. Schall (2024). Federated Learning Deployments of Industrial Applications on Cloud, Fog, and Edge Resources. In 8th IEEE International Conference on Fog and Edge Computing (ICFEC 2024), pages NN–NN. IEEE Computer Society, Washington, DC, USA, 2024.

  • T. Hiessl, S. Schulte, S. Lakani, A. Keusch, E. Pinter, T. Kaufmann, D. Schall (2024). Federated Learning Deployments of Industrial Applications on Cloud, Fog, and Edge Resources. In The 8th IEEE International Conference on Fog and Edge Computing (ICFEC 2024) (pp. nn-nn). IEEE Computer Society, Washington, DC, USA..

  • R. Ecker, V. Karagiannis, M. Sober, E. Ebrahimi, and S. Schulte (2023). Latency-aware Placement of Stream Processing Operators. In 49th International European Conference on Parallel and Distributed Computing (Euro-Par 2023): Workshop and Minisymposia. Springer, Heidelberg Berlin.