Fl framework assembly: MetisFL

What is the MetisFL Tool Assembly?

MetisFL is an open-source federated learning framework designed for modularity, extensibility, and configurability. It supports both TensorFlow and PyTorch backends and is intended for general-purpose FL across a variety of domains, including computer vision and natural language processing. MetisFL is domain-agnostic and can be extended to support additional ML frameworks.

What can you use the MetisFL Tool Assembly for?

• General-purpose federated learning research and applications
• Cross-domain FL in CV, NLP, and more
• Extensible backend support (TensorFlow, PyTorch)

Limitations/Remarks

• May face challenges with very specific or niche requirements
• Ongoing development and optimization

Specific Use Cases/Applications

• FL in computer vision, NLP, and other domains
• Research and prototyping of new FL algorithms

How to access the MetisFL Tool Assembly?

• GitHub Repository
• Install via pip or from source

References

• MetisFL GitHub

---

Original Framework Contributors

• MetisFL Community

For a full list, see the MetisFL GitHub contributors.

More information

Training

Affiliations Contributors