Communication-Efficient Hierarchical Federated Learning for IoT Heterogeneous Systems with Imbalanced Data

1 code implementation • 14 Jul 2021 • Alaa Awad Abdellatif, Naram Mhaisen, Amr Mohamed, Aiman Erbad, Mohsen Guizani, Zaher Dawy, Wassim Nasreddine

Federated learning (FL) is a distributed learning methodology that allows multiple nodes to cooperatively train a deep learning model, without the need to share their local data.

Federated Learning