
############################## Experiment details ##############################

dataset: femnist
dataset_dir: ../data/femnist/
output_dir: output/fedavg_cnn-2022-08-04_00:14:04/
model: cnn
num_rounds: 100
eval_every: 10
ServerType: <class 'fedavg_cnn_exp.fedavg_cnn.<locals>.make_fedavg_server_client.<locals>.FedAvgServer'>
client_types: [(<class 'fedavg_cnn_exp.fedavg_cnn.<locals>.make_fedavg_server_client.<locals>.FedAvgClient'>, 100)]
clients_per_round: 10
client_lr: 0.06
batch_size: 64
seed: 0
use_val_set: False
num_epochs: 10
gpus_per_client_cluster: 1
num_client_clusters: 2
save_model: False

############################## Simulation ##############################

Spawning 2 ClientClusters using cuda device (this may take a while)
100 total clients: 100 FedAvgClients

--- Round 1 of 100: Training 10 clients: 10 FedAvgClients ---
