Daisy - A Hierarchical Friendly Federated Learning Framework For Edge Computing
Project description
Daisy - A Hierarchical Friendly Federated Learning Framework For Edge Computing
dev mode (virtual environment)
1. clone the source code
git clone https://github.com/Intelligent-Systems-Lab/daisy
2. build up environment
prepare and activate your virtual environment (python=3.8^)
cd daisy
./dev/bootstrap.sh
develop
setup examples
don't overwrite daisyfl dependency in this step.
cd <example_path>
pip install <pkgs_for_your_example>
5. run examples
dev mode (docker)
1. clone the source code
git clone https://github.com/Intelligent-Systems-Lab/daisy
2. build up environment
docker run -it -v <daisy_source_code>:/root/daisy tcfwbper/daisyfl-dev:<version_tag> /bin/bash
3. develop
4. setup examples
don't overwrite daisyfl dependency in this step.
docker attach <container_id>
cd <example_path> && conda activate daisy
pip install <pkgs_for_your_example>
5. run examples
user mode
1. install daisyfl
pip install <daisyfl_version>
2. setup examples
pip install <pkgs_for_your_example>
3. run examples
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
daisyfl-0.5.2.tar.gz
(87.3 kB
view hashes)
Built Distribution
daisyfl-0.5.2-py3-none-any.whl
(143.9 kB
view hashes)
