Backdoor Defense in Federated Learning Using Differential Testing and Outlier Detection

no code implementations • 21 Feb 2022 • Yein Kim, Huili Chen, Farinaz Koushanfar

The goal of federated learning (FL) is to train one global model by aggregating model parameters updated independently on edge devices without accessing users' private data.

backdoor defense Federated Learning +1