sedna/examples/federated_learning/yolov5_coco128_mistnet/train.py

# 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.

from interface import mistnet, s3_transmitter
from interface import Dataset, Estimator
from sedna.core.federated_learning import FederatedLearning


def main():
    data = Dataset()
    estimator = Estimator()

    fl_model = FederatedLearning(
        estimator=estimator,
        aggregation=mistnet,
        transmitter=s3_transmitter)

    fl_model.train(data)


if __name__ == '__main__':
    main()