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when i run the experiments for femnist dataset i run to this error:
FileNotFoundError: [Errno 2] No such file or directory: 'dataset_constants/femnist_train_mean_std'
and other errors in the function update update(self.updates, aggregation, max_update_norm=MAX_UPDATE_NORM)
specifically the "max_update_norm" parameter.
I tried to ignore these errors by not doing the normalization and deleting the "max_update_norm" parameter however the accuracy is very bad (0.05)
do you please have a solution for this?
The text was updated successfully, but these errors were encountered:
Sorry for the late response. We updated the dataset_constants folder with the EMNIST mean and std values. The update function works fine for me. Could you please post the full error message?
More details:
The normalization allows for larger learning rates, leading to faster convergence. You can run it without the normalization, but you'll have to use a smaller learning rate, such as 0.05, for instance (with normalization, we use a learning rate of 1.0).
The max_update_norm is just a safety check to ensure that a large unexpected update does not cause divergence. You do not need it to reproduce the experiments reported in our paper (i.e., you can safely set it to None).
when i run the experiments for femnist dataset i run to this error:
FileNotFoundError: [Errno 2] No such file or directory: 'dataset_constants/femnist_train_mean_std'
and other errors in the function update
update(self.updates, aggregation, max_update_norm=MAX_UPDATE_NORM)
specifically the "max_update_norm" parameter.
I tried to ignore these errors by not doing the normalization and deleting the "max_update_norm" parameter however the accuracy is very bad (0.05)
do you please have a solution for this?
The text was updated successfully, but these errors were encountered: