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dataset_package = decentralizepy.datasets.Femnist
dataset_class = Femnist
n_procs = 12
train_dir = leaf/data/femnist/per_user_data/train
; python list of fractions below
[OPTIMIZER_PARAMS]
optimizer_package = torch.optim
[TRAIN_PARAMS]
training_package = decentralizepy.training.Training
training_class = Training
shuffle = True
loss_package = torch.nn
loss_class = CrossEntropyLoss
comm_package = decentralizepy.communication.TCP
comm_class = TCP
[SHARING]
sharing_package = decentralizepy.sharing.Sharing
sharing_class = Sharing