text: # Copyright 2021 The KubeEdge Authors.
  #
  # Licensed under the Apache License, Version 2.0 (the "License");
  # you may not use this file except in compliance with the License.
  # You may obtain a copy of the License at
  #
  #     http://www.apache.org/licenses/LICENSE-2.0
  #
  # Unless required by applicable law or agreed to in writing, software
  # distributed under the License is distributed on an "AS IS" BASIS,
  # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
  # See the License for the specific language governing permissions and
  # limitations under the License.
  import os
  from interface import mistnet, s3_transmitter
  from interface import Dataset, Estimator
  from sedna.common.config import BaseConfig
  from sedna.core.federated_learning import FederatedLearningV2
  
  def main():
      data = Dataset()
      estimator = Estimator()
      data.parameters["data_path"] = BaseConfig.train_dataset_url.replace("robot.txt", "")
      data.parameters["train_path"] = os.path.join(data.parameters["data_path"], "./coco128/images/train2017/")
      data.parameters["test_path"] = data.parameters["train_path"]
      fl_model = FederatedLearningV2(
          data=data,
          estimator=estimator,
          aggregation=mistnet,
          transmitter=s3_transmitter)
  
      fl_model.train()
  
  if __name__ == '__main__':
      main()
  