Skip to main content

syft_flwr is an open source framework that facilitate federated learning projects using Flower over the SyftBox protocol

Project description

syft_flwr

syft_flwr is an open source framework that facilitate federated learning (FL) projects using Flower over the SyftBox protocol

FL Training Process

Example Usages

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

Development

Releasing

See RELEASE.md for the complete release process.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

syft_flwr-0.3.1.tar.gz (22.8 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

syft_flwr-0.3.1-py3-none-any.whl (27.2 kB view details)

Uploaded Python 3

File details

Details for the file syft_flwr-0.3.1.tar.gz.

File metadata

  • Download URL: syft_flwr-0.3.1.tar.gz
  • Upload date:
  • Size: 22.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.11.13

File hashes

Hashes for syft_flwr-0.3.1.tar.gz
Algorithm Hash digest
SHA256 81480dc5064ffe7da1c534e09897948f8c1e05ac50353ae4e93f5ea998c94b17
MD5 62dabb81f12fa77f6c51a1ed77fe043a
BLAKE2b-256 2e2e340a5c859ca05df4df4501c833162d5d8ffb2b8dad43dca0e454c7a9fccd

See more details on using hashes here.

File details

Details for the file syft_flwr-0.3.1-py3-none-any.whl.

File metadata

  • Download URL: syft_flwr-0.3.1-py3-none-any.whl
  • Upload date:
  • Size: 27.2 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.11.13

File hashes

Hashes for syft_flwr-0.3.1-py3-none-any.whl
Algorithm Hash digest
SHA256 2fa9030a4682a2193a1b767825f811fcae0c3c839d0860646654b1367f18f0ff
MD5 8056ebfafdf8e798782c12064ad780d2
BLAKE2b-256 04252d6770f5e6234daca5911fefec8c403e221021a6a26493e086336c17abb3

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page