An Accuracy-Lossless Perturbation Method for Defending Privacy Attacks in Federated Learning

1 code implementation • 23 Feb 2020 • Xue Yang, Yan Feng, Weijun Fang, Jun Shao, Xiaohu Tang, Shu-Tao Xia, Rongxing Lu

However, the strong defence ability and high learning accuracy of these schemes cannot be ensured at the same time, which will impede the wide application of FL in practice (especially for medical or financial institutions that require both high accuracy and strong privacy guarantee).

Federated Learning