Haley Hoech
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View article: FedAUXfdp: Differentially Private One-Shot Federated Distillation
FedAUXfdp: Differentially Private One-Shot Federated Distillation Open
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 the recently proposed method FedAUX, an augmentation of fede…