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Implementation of federared learning and differential privacy on an Raspberry Pi and Jetson Nano.

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TFM-Embedded-Federated-Learning

About The Project

Implementation of federared learning and differential privacy on an Raspberry Pi and Jetson Nano.

Built with

  • Python
  • Tensorflow
  • Flower
  • Scikit-learn

Usage

Execute server:

python server.py

Execute client/s:

python client.py True 0 

Execute clients with scripts:

./clientScript.sh

True is the flag for the first iteration of hyperparameter optimization. 0 is the index of the dataset.

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Implementation of federared learning and differential privacy on an Raspberry Pi and Jetson Nano.

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