FedML
FEDML - The unified and scalable ML library for large-scale distributed training, model serving, and federated learning. FEDML Launch, a cross-cloud scheduler, further enables running any AI jobs on any GPU cloud or on-premise cluster. Built on this library, T
Run AI training and deployment jobs on various cloud services and devices easily and securely.
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Free · no card · unsubscribe anytimeFEDML - The unified and scalable ML library for large-scale distributed training, model serving, and federated learning. FEDML Launch, a cross-cloud scheduler, further enables running any AI jobs on any GPU cloud or on-premise cluster. Built on this library, T
FedML has 4.1k stars on GitHub. It has been forked 765 times. FedML is written mainly in Python. It has been in active development since 2020. FedML is available under the Apache-2.0 license. Its main topics are ai-agent, deep-learning, distributed-training, edge-ai.
What is FedML?
FEDML - The unified and scalable ML library for large-scale distributed training, model serving, and federated learning. FEDML Launch, a cross-cloud scheduler, further enables running any AI jobs on any GPU cloud or on-premise cluster. Built on this library, T
Is FedML open source?
FedML is an open-source project. It is released under the Apache-2.0 license.
Is FedML free?
Yes. FedML is free and open source — you can use, modify and self-host it.
What license does FedML use?
FedML is available under the Apache-2.0 license.
What language is FedML written in?
FedML is written mainly in Python.
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