A Research-oriented Federated Learning Library. Supporting distributed computing, mobile/IoT on-device training, and standalone simulation. Best Paper Award at NeurIPS 2020 Federated Learning workshop. Join our Slack Community:(https://join.slack.com/t/fedml/shared_invite/zt-havwx1ee-a1xfOUrATNfc9DFqU~r34w)
Backed by FEDML Nexus AI: Next-Gen Cloud Services for LLMs & Generative AI (https://fedml.ai)
FedML Documentation: https://doc.fedml.ai
FedML Homepage: https://fedml.ai/
FedML Blog: https://blog.fedml.ai/
FedML Medium: https://medium.com/@FedML
FedML Research: https://fedml.ai/research-papers/
Join the Community:
Slack: https://join.slack.com/t/fedml/shared_invite/zt-havwx1ee-a1xfOUrATNfc9DFqU~r34w
Discord: https://discord.gg/9xkW8ae6RV
FEDML® stands for Foundational Ecosystem Design for Machine Learning. FEDML Nexus AI is the next-gen cloud service for LLMs & Generative AI. It helps developers to launch complex model training, deployment, and federated learning anywhere on decentralized GPUs, multi-clouds, edge servers, and smartphones, easily, economically, and securely.
Highly integrated with FEDML open source library, FEDML Nexus AI provides holistic support of three interconnected AI infrastructure layers: user-friendly MLOps, a well-managed scheduler, and high-performance ML libraries for running any AI jobs across GPU Clouds.
A typical workflow is showing in figure above. When developer wants to run a pre-built job in Studio or Job Store, FEDML®Launch swiftly pairs AI jobs with the most economical GPU resources, auto-provisions, and effortlessly runs the job, eliminating complex environment setup and management. When running the job, FEDML®Launch orchestrates the compute plane in different cluster topologies and configuration so that any complex AI jobs are enabled, regardless model training, deployment, or even federated learning. FEDML®Open Source is unified and scalable machine learning library for running these AI jobs anywhere at any scale.
In the MLOps layer of FEDML Nexus AI
In the scheduler layer of FEDML Nexus AI
In the Compute layer of FEDML Nexus AI
FedML embraces and thrive through open-source. We welcome all kinds of contributions from the community. Kudos to all of our amazing contributors!
FedML has adopted Contributor Covenant.