Final project for the CEN598 course of Arizona State University. We showcase the strength of SFL in Arduino Nano 33 BLE Sense.

Report is arxived here: Split Federated Learning on Micro-controllers: A Keyword Spotting Showcase

1. Extend the server-side model to more complex architecture
2. Extend the serial communication via bluetooth

''' pip install pyserial numpy matplotlib '''

1. Open the project with PlatformIO and flash the firmware to all the boards
2. Run the sfl_server.py using Python3 (This is a simulated training process). The default port should be /dev/ttyACM0 or /dev/ttyACM1

1. Checkout "fl" branch of this repo
2. Run the fl_server.py using Python3 (This is a simulated training process). The default port should be /dev/ttyACM0 or /dev/ttyACM1

• Jingtao Li
• Runcong Kuang

This project is originated from Federated Learning with Arduino Nano 33 BLE Sense, which is authored by:

• Marc Monfort
• Nil Llisterri