FedML

FedML is a distributed MLOps platform for training, deploying, and federating AI models across edge devices and cloud clusters without moving raw data.

FedML streamlines decentralized machine learning by providing a unified infrastructure for cross-silo and cross-device training. The platform supports large-scale deployments (including LLMs and generative AI) via its Open-Source library and Nexus AI cloud platform. By utilizing secure multiparty computation and differential privacy, FedML enables collaborators to train shared models on private datasets (such as medical records or financial logs) while maintaining strict data sovereignty. Its ecosystem integrates seamlessly with PyTorch and TensorFlow, allowing developers to scale from a single local node to a global network of millions of devices with minimal code changes.

https://fedml.ai