Welcome to FedML¶
Thank you for coming to FedML. This documentation provides all you need to know about using the FedML platform.
FedML, Inc. (https://fedml.ai) is to help people or organizations have AI capability from data anywhere at any scale. FedML stands for “Fundamental Ecosystem Development/Design for Machine Learning” in a broad scope, and “Federated Machine Learning” in a specific scope. At the current stage, FedML is developing and maintaining a machine learning platform that enables zero-code, lightweight, cross-platform, and provably secure federated learning and analytics. It enables machine learning from decentralized data at various users/silos/edge nodes, without the need to centralize any data to the cloud, hence providing maximum privacy and efficiency. It consists of a lightweight and cross-platform Edge AI SDK that is deployable over edge GPUs, smartphones, and IoT devices. Furthermore, it also provides a user-friendly MLOps platform to simplify decentralized machine learning and real-world deployment. FedML supports vertical solutions across a broad range of industries (healthcare, finance, insurance, smart cities, IoT, etc.) and applications (computer vision, natural language processing, data mining, and time-series forecasting). Its core technology is backed by more than 3 years of cutting-edge research of its co-founders.
This documentation is organized in the following sections:
- FedML MLOps Video Tutorial
- FedML MLOps User Guide
- FedML MLOps CLI and API Reference
- FedML Parrot User Guide
- FedML Parrot Examples
- FedML Parrot API Reference
- FedML Octopus User Guide
- FedML Octopus Examples
- FedML Octopus API Reference
FedML is hiring researchers, engineers, product managers, and related interns. If you are interested, Please apply at https://fedml.ai/careers