FedRAD: Federated Robust Adaptive Distillation

no code implementations • 2 Dec 2021 • Stefán Páll Sturluson, Samuel Trew, Luis Muñoz-González, Matei Grama, Jonathan Passerat-Palmbach, Daniel Rueckert, Amir Alansary

The robustness of federated learning (FL) is vital for the distributed training of an accurate global model that is shared among large number of clients.

Federated Learning Knowledge Distillation +1