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[DATASET]
dataset_package = decentralizepy.datasets.Femnist
dataset_class = Femnist
model_class = CNN
train_dir = /mnt/nfs/shared/leaf/data/femnist/per_user_data/train
test_dir = /mnt/nfs/shared/leaf/data/femnist/data/test
; python list of fractions below
sizes =
[OPTIMIZER_PARAMS]
optimizer_package = torch.optim
optimizer_class = Adam
lr = 0.001
# There are 734463 femnist samples
[TRAIN_PARAMS]
training_package = decentralizepy.training.ChangeAccumulator
training_class = ChangeAccumulator
rounds = 47
full_epochs = False
batch_size = 16
shuffle = True
loss_package = torch.nn
loss_class = CrossEntropyLoss
accumulation = True
[COMMUNICATION]
comm_package = decentralizepy.communication.TCP
comm_class = TCP
addresses_filepath = ip_addr_6Machines.json
[SHARING]
sharing_package = decentralizepy.sharing.PartialModel
sharing_class = PartialModel