SafeML: A Privacy-Preserving Byzantine-Robust Framework for Distributed Machine Learning Training - researchr publication authors

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Meghdad Mirabi, René Klaus Nikiel, Carsten Binnig. SafeML: A Privacy-Preserving Byzantine-Robust Framework for Distributed Machine Learning Training. In Jihe Wang, Yi He 0007, Thang N. Dinh, Christan Grant, Meikang Qiu, Witold Pedrycz, editors, IEEE International Conference on Data Mining, ICDM 2023 - Workshops, Shanghai, China, December 4, 2023. pages 207-216, IEEE, 2023. [doi]

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