2021
Curse or Redemption? How Data Heterogeneity Affects the Robustness of Federated Learning
AAAI 2021technical
Data heterogeneity has been identified as one of the key features in federated learning but often overlooked in the lens of robustness to adversarial attacks. This paper focuses on characterizing and understanding its impact on backdooring attacks in federated learning through comprehensive experime…