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-0.3.2.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-0.3.2-py3-none-any.whl (27.2 kB view details)

Uploaded Python 3

File details

Details for the file syft_flwr-0.3.2.tar.gz.

File metadata

  • Download URL: syft_flwr-0.3.2.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-0.3.2.tar.gz
Algorithm Hash digest
SHA256 bcda0b2b6440964c8c1e0adc00ec57ad43acd0648cfdda557669c0600b4c58ff
MD5 b6060aecef5e3f3ea64fd69fa2e31b88
BLAKE2b-256 5506c124117ed103959d48bbc03b487718093fd3f4fb175f42fad7bfd4fe5530

See more details on using hashes here.

File details

Details for the file syft_flwr-0.3.2-py3-none-any.whl.

File metadata

  • Download URL: syft_flwr-0.3.2-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-0.3.2-py3-none-any.whl
Algorithm Hash digest
SHA256 21f2e54d95126dc2342b27e51d1222555e4e1ee027b037d18ab6d0d951cdc47b
MD5 875b3441096af35c844f0a616585d47c
BLAKE2b-256 824f30c8a2b8cc2acdfa208ef0c7640dc8e86157b559fd4086751efc7d2df6bc

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