2023W

• AI/ML in the Era of Climate Change / 194.125 / VU
• Bachelor Thesis for Informatics and Business Informatics / 188.944 / PR

• SymED: Adaptive and Online Symbolic Representation of Data on the Edge / Hofstätter, D., Ilager, S. S., Lujic, I., & Brandic, I. (2023). SymED: Adaptive and Online Symbolic Representation of Data on the Edge. In J. Cano, M. D. Dikaiakos, G. A. Papadopoulos, M. Pericàs, & R. Sakellariou (Eds.), Euro-Par 2023: Parallel Processing : 29th International Conference on Parallel and Distributed Computing, Limassol, Cyprus, August 28 – September 1, 2023, Proceedings (pp. 411–425). Springer. https://doi.org/10.1007/978-3-031-39698-4_28

• Achieving sustainable federated edge analytics by using incomplete data / Maliakel, P. J. (2023). Achieving sustainable federated edge analytics by using incomplete data [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2023.108307
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• A systematic evaluation of federated learning algorithms in the context of industrial applications / Pruckovskaja, V. (2023). A systematic evaluation of federated learning algorithms in the context of industrial applications [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2023.96643
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• Edge data management with symbolic representation / Kanatbekova, M. (2022). Edge data management with symbolic representation [Diploma Thesis, Technische Universität Wien; University of L’Aquila]. reposiTUm. https://doi.org/10.34726/hss.2022.106716
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