Knowledge Distillation for Federated Learning: a Practical Guide

Alessio Mora, Irene Tenison, Paolo Bellavista +1

Federated Learning (FL) enables the training of Deep Learning models without centrally collecting possibly sensitive raw data. The most used algorithms for FL are parameter-averagi…