Privacy-preserving Distributed Machine Learning via Local Randomization and ADMM Perturbation

Xin Wang, Hideaki Ishii, Linkang Du +2

With the proliferation of training data, distributed machine learning (DML) is becoming more competent for large-scale learning tasks. However, privacy concerns have to be given pr…