Flower
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About
Flower is a friendly federated AI framework that offers a unified approach to federated learning, analytics, and evaluation. It is designed to federate any workload, any ML framework, and any programming language. Flower is scalable, compatible with various ML frameworks like TensorFlow, PyTorch, and Hugging Face, and can be used across cloud, mobile, edge, and beyond. It supports research to production deployment with low engineering effort and is platform-independent.
Platform
Task
Features
• scalability
• federated learning
• platform independent
• cloud, mobile, edge & beyond compatibility
• ml framework agnostic
• federated evaluation
• federated analytics
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