FATE-LLM is a framework to support federated learning for large language models(LLMs).
- Federated learning for heterogeneous large model and small model.
- Promote training efficiency of federated LLMs using Parameter-Efficient methods.
- Protect the IP of LLMs using FedIPR.
- Protect data privacy during training and inference through privacy preserving mechanisms.
Please refer to FATE-Standalone deployment.
Deploy FATE-Standalone version with 1.11.3 <= version < 2.0, then copy directory python/fate_llm
to {fate_install}/fate/python/fate_llm
Use FATE-LLM deployment packages to deploy, refer to FATE-Cluster deployment for more deployment details.