Federated Learning Project

Setup Development Environment

Install docker on linux

1. Install docker For Debian/Ubuntu or Debian-based

# update and install necessary tools
sudo apt-get update
sudo apt-get install \
    ca-certificates \
    curl \
    gnupg \
    lsb-release

# add key
sudo mkdir -p /etc/apt/keyrings
curl -fsSL https://download.docker.com/linux/ubuntu/gpg | sudo gpg --dearmor -o /etc/apt/keyrings/docker.gpg

# Add repository
echo \
  "deb [arch=$(dpkg --print-architecture) signed-by=/etc/apt/keyrings/docker.gpg] https://download.docker.com/linux/ubuntu \
  $(lsb_release -cs) stable" | sudo tee /etc/apt/sources.list.d/docker.list > /dev/null

# Install docker
sudo apt-get install docker-ce docker-ce-cli containerd.io docker-compose-plugin

2. Enable using docker without sudo

sudo groupadd docker
sudo usermod -aG docker $USER
newgrp docker

now you can use docker without sudo right

Install RabbitMQ in docker.

simply run:

docker run --rm -it --name rabbitmq -p 15672:15672 -p 5672:5672 rabbitmq:3-management

Install Dependencies, setup Development environment

1. Python version should be 3.8.
2. Conda environment is recommended.
3. Perfectly work on linux.

./setup.sh

Run MNIST classification example

cd examples/mnist_tensorflow
python download_data.py
python server_fedavg.py

open 3 shells/terminals then run

python client_fedavg.py