Skip to main content

A benchmark for proximity-based non-IID Federated Learning

Project description

ProFed: A Benchmark for Proximity-based Federated Learning

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

profed-0.6.0.tar.gz (4.1 kB view details)

Uploaded Source

Built Distribution

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

profed-0.6.0-py3-none-any.whl (5.3 kB view details)

Uploaded Python 3

File details

Details for the file profed-0.6.0.tar.gz.

File metadata

  • Download URL: profed-0.6.0.tar.gz
  • Upload date:
  • Size: 4.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.8.3 CPython/3.12.10 Linux/6.11.0-1014-azure

File hashes

Hashes for profed-0.6.0.tar.gz
Algorithm Hash digest
SHA256 ec3328b4209538bc3f509a5b7ec2cd138033d8ff2fe504185413e6067032b0d2
MD5 2c4f1c36567dbf45377cd8eaa834a76c
BLAKE2b-256 ad3a2d7d2403bcd68abee1ce08e871d14164a490f73f6f0eb91f8e48f55c8c3b

See more details on using hashes here.

File details

Details for the file profed-0.6.0-py3-none-any.whl.

File metadata

  • Download URL: profed-0.6.0-py3-none-any.whl
  • Upload date:
  • Size: 5.3 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.8.3 CPython/3.12.10 Linux/6.11.0-1014-azure

File hashes

Hashes for profed-0.6.0-py3-none-any.whl
Algorithm Hash digest
SHA256 6735420f7700ac4456285531f4edcee2a0456a3d58e5bfc683dc5b9b89f0547a
MD5 556ef939c265dacf4f689a77458a17ae
BLAKE2b-256 dee7799cffcca939660f5e3eb11525d8f5049f8acbd617208a7eb9d35b649601

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