[DATASET] dataset_package = decentralizepy.datasets.CIFAR10 dataset_class = CIFAR10 model_class = LeNet train_dir = /mnt/nfs/shared/CIFAR test_dir = /mnt/nfs/shared/CIFAR ; python list of fractions below sizes = random_seed = 99 partition_niid = True shards = 4 [OPTIMIZER_PARAMS] optimizer_package = torch.optim optimizer_class = SGD lr = 0.001 [TRAIN_PARAMS] training_package = decentralizepy.training.Training training_class = Training rounds = 65 full_epochs = False batch_size = 8 shuffle = True loss_package = torch.nn loss_class = CrossEntropyLoss [COMMUNICATION] comm_package = decentralizepy.communication.TCP comm_class = TCP addresses_filepath = ip_addr_6Machines.json [SHARING] sharing_package = decentralizepy.sharing.PartialModel sharing_class = PartialModel alpha=0.3