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Results: 3
Number of items: 3
  • Open Access
    Zemanek, V., Hu, Y., de Reus, P., Oprescu, A., & Malavolta, I. (2024). Exploring the Impact of K-Anonymisation on the Energy Efficiency of Machine Learning Algorithms. In 2024 10th International Conference on ICT for Sustainability: ICT4S 2024 : 24-28 June 2024, Stockholm, Sweden : proceedings (pp. 128-137). IEEE Computer Society, Conference Publishing Services. https://doi.org/10.1109/ict4s64576.2024.00022
  • Open Access
    de Reus, P., Dresen, K., Oprescu, A., Irion, K., & Kolk, A. (2024). An interdisciplinary exploration of trade-offs between energy, privacy and accuracy aspects of data. (v2 ed.) ArXiv. https://doi.org/10.48550/arXiv.2410.00069
  • de Reus, P., Oprescu, A., & van Elsen, K. (2023). Energy Cost and Machine Learning Accuracy Impact of k-Anonymisation and Synthetic Data Techniques. In 2023 International Conference on ICT for Sustainability: ICT4S 2023 : 5-9 June 2023, Rennes, France : proceedings (pp. 57-65). IEEE Computer Society, Conference Publishing Services. https://doi.org/10.1109/ICT4S58814.2023.00015
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