Skip to main content

Reference PyTorch implementation of FedMARS, a credit-driven layer-wise federated learning framework.

Project description

The author of this package has not provided a project description

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

fedmars-0.4.0.tar.gz (14.0 kB view details)

Uploaded Source

Built Distribution

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

fedmars-0.4.0-py3-none-any.whl (17.4 kB view details)

Uploaded Python 3

File details

Details for the file fedmars-0.4.0.tar.gz.

File metadata

  • Download URL: fedmars-0.4.0.tar.gz
  • Upload date:
  • Size: 14.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.11.9

File hashes

Hashes for fedmars-0.4.0.tar.gz
Algorithm Hash digest
SHA256 67b1d92d47501a19e7a27962550de4055f8a5e53c0ecc977907062d8a7a71168
MD5 ccf0a58df50ad3f437bbbe7e4ff6a6d5
BLAKE2b-256 ee87fe11d9c8ceadd827c7bae48e00b74761ad76ddbe722d76c0055225499de3

See more details on using hashes here.

File details

Details for the file fedmars-0.4.0-py3-none-any.whl.

File metadata

  • Download URL: fedmars-0.4.0-py3-none-any.whl
  • Upload date:
  • Size: 17.4 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.11.9

File hashes

Hashes for fedmars-0.4.0-py3-none-any.whl
Algorithm Hash digest
SHA256 12170a2fa298ab65fcd18ab0bc51e0f1916e6d89ceeeb8fb55a69bb8b2289006
MD5 b626ccbc9895c20b8f62702326880250
BLAKE2b-256 878b3f5ce0e5eac3a7125a93b9e86d98c387f4e17b5511d2678a5907d144ca2c

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