Client optimizer for use with ConLAi which is ledger type federated learning framework
Project description
pyConLAi
Client optimizer for use with ConLAi which is ledger type federated learning framework
What's ConLAi?
Con(sensus)L(erning) Ai is server module for Ledger type federated learning. Ledger type federated learning achieves federated learning in a way that feels like Git.
How to Install
from PyPi:
pip install pyconlai
How to Start
Here is how to run the CIFAR10 example:
1. Server-side execution
This Python module is a client module. The ConLAi service requires the server to be started.
Docker makes it easy to start a server.
docker pull ghcr.io/rosso-ai/conlai:latest
docker run -d -p 9200:9200 ghcr.io/rosso-ai/conlai
See also the server module README for more information.
https://github.com/rosso-ai/conlai
2. Client-side execution
Next, start the client side. This sample runs two client nodes in multi-process mode.
cd examples/cifar10
python run.py conf/dsgd_cifar10.yml
For details, please see CIFAR10 example README.
License
This client software is Apache-2.0 license.
Server-side software is dual licensed under AGPL-3.0 and commercial license.
If you would like to use a commercial license, please contact Rosso inc.
Authors
ConLAi is developed by Rosso inc.
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