syft_flwr is an open source framework that facilitate federated learning (FL) projects using Flower over the SyftBox protocol
Please look at the notebooks/ folder for example use cases:
- FL diabetes prediction shows how to train a federated model over distributed machines for multiple rounds
- Federated analytics shows how to query statistics from private datasets from distributed machines and then aggregate them
- FedRAG (Federated RAG) demonstrates privacy-preserving question answering using Retrieval Augmented Generation across distributed document sources with remote data science workflow
See RELEASE.md for the complete release process.
