FedML
★ 4.1k·Apache-2.0·Updated 2025-10-28
★ Essential
FedML is a unified and scalable open-source machine learning library powered by TensorOpera AI, enabling training and deployment of AI jobs anywhere at any scale. It offers holistic support for MLOps, scheduling, and high-performance ML libraries, including federated learning, distributed training, and generative AI functionalities.
#Federated Learning#MLOps#Distributed Training#Generative AI#LLMs
01
Features
01Unified and scalable ML library
02Support for Generative AI and LLMs (fine-tuning, deployment)
03Federated Learning platform (on-device, cross-cloud)
04Distributed Training for large and foundational models
05Model serving platform for high scalability and low latency
02
Compatibility
Decentralized GPUs
Native
Verified via docs
Multi-cloud
Native
Verified via docs
Edge Servers
Native
Verified via docs
Smartphones
Native
Verified via docs
On-premise / Hybrid Cloud
Native
Verified via docs
03
Quick start
1
$ git clone https://github.com/FedML-AI/FedML.git
04
Use cases
↳Distributed training and fine-tuning of large models (including LLMs)
↳Scalable deployment and serving of AI models
↳Federated learning across various decentralized environments
05
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