def __init__(
self,
trans_var: SecureAggregatorTransVar = SecureAggregatorTransVar(),
enable_secure_aggregate=True):
self._aggregator = aggregator.Server(
trans_var=trans_var.aggregator_trans_var)
self.enable_secure_aggregate = enable_secure_aggregate
if enable_secure_aggregate:
random_padding_cipher.Server(trans_var=trans_var.random_padding_cipher_trans_var) \
.exchange_secret_keys()
def __init__(self, max_num_aggregation, eps=0.0, name="default"):
super(PyTorchSAServerContext,
self).__init__(max_num_aggregation=max_num_aggregation,
name=name)
self.transfer_variable = SecureAggregatorTransVar()
self.aggregator = aggregator.Server(
self.transfer_variable.aggregator_trans_var)
self.random_padding_cipher = random_padding_cipher.Server(
self.transfer_variable.random_padding_cipher_trans_var)
self._eps = eps
self._loss = math.inf
def aggregator_call(job_id, role, ind, *args):
server_model = args[0][0]
client_models = args[0][1:]
if role == consts.ARBITER:
agg = aggregator.Server()
models = agg.get_models()
agg.send_aggregated_model(server_model)
return models
else:
agg = aggregator.Client()
if role == consts.GUEST:
agg.send_model(client_models[0])
else:
agg.send_model(client_models[ind + 1])
return agg.get_aggregated_model()