Federated-Learning-PyTorch
Federated-Learning-PyTorch copied to clipboard
When are you testing on all local models, why is it being called train accuracy and train loss?
In federated_main.py file , once you average out the weights, you calculate accuracy on TEST set of each client. So why is that you're calling it train accuracy/loss?
Anything I'm missing here?