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

@inproceedings{pub16471,
    author = {

Mirabi, Meghdad
 and 

Nikiel, René Klaus
 and 

Binnig, Carsten
},
    editor = {

Wang, Jihe
 and 

He, Yi
 and 

Dinh, Thang N.
 and 

Grant, Christan
 and 

Qiu, Meikang
 and 

Pedrycz, Witold
},
    title = {SafeML: A Privacy-Preserving Byzantine-Robust Framework for Distributed Machine Learning Training},
    booktitle = {23rd IEEE International Conference on Data Mining Workshops - ICDMW 2023. International Workshop on Trustworthy Knowledge Discovery and Data Mining (TrustKDD-2023), December 1, Shanghai, China
},
    year = {2023},
    pages = {207--216},
    publisher = {IEEE}
}