src/test/scripts/functions/federated/paramserv/FederatedParamservTest.dml

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source("src/test/scripts/functions/federated/paramserv/TwoNN.dml") as TwoNN
source("src/test/scripts/functions/federated/paramserv/CNN.dml") as CNN

# create federated input matrices
features = read($features)
labels = read($labels)

print($weighing)

if($network_type == "TwoNN") {
  model = TwoNN::train_paramserv(features, labels, matrix(0, rows=0, cols=0), matrix(0, rows=0, cols=0), 0, $epochs, $utype, $freq, $batch_size, $scheme, $runtime_balancing, $weighing, $eta, $seed)
}
else {
  model = CNN::train_paramserv(features, labels, matrix(0, rows=0, cols=0), matrix(0, rows=0, cols=0), 0, $epochs, $utype, $freq, $batch_size, $scheme, $runtime_balancing, $weighing, $eta, $channels, $hin, $win, $seed)
}
print(toString(model))