2020
Hierarchical Federated Learning ACROSS Heterogeneous Cellular Networks
ICASSP 2020accepted
We consider federated edge learning (FEEL), where mobile users (MUs) collaboratively learn a global model by sharing local updates on the model parameters rather than their datasets, with the help of a mobile base station (MBS). We optimize the resource allocation among MUs to reduce the communicati…