FedAUXfdp: Differentially Private One-Shot Federated Distillation

Haley Hoech, Roman Rischke, Karsten Müller +1

Federated learning suffers in the case of non-iid local datasets, i.e., when the distributions of the clients' data are heterogeneous. One promising approach to this challenge is t…