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FedML
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FedML

Active·★ 4.1k·Apache-2.0·Updated 2025-10-28
★ Trending★ 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
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#Generative AI
#LLMs
↗ Visit site★ GitHub
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

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
04

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