capitalone / federated-model-aggregation

The Federated Model Aggregation (FMA) Service is a collection of installable python components that make up the generic workflow/infrastructure needed for federated learning.

Date Created 2023-02-10 (about a year ago)

Commits 44 (last one 5 months ago)

Stargazers 30 (0 this week)

Watchers 5 (0 this week)

Forks 11

License apache-2.0

Ranking

RepositoryStats indexes 595,856 repositories, of these capitalone/federated-model-aggregation is ranked #569,455 (4th percentile) for total stargazers, and #335,688 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #113,204/119,431.

capitalone/federated-model-aggregation is also tagged with popular topics, for these it's ranked: python (#21,678/22324), machine-learning (#7,830/8063), distributed-systems (#548/560), federated-learning (#204/209)

Other Information

capitalone/federated-model-aggregation has 1 open pull request on Github, 30 pull requests have been merged over the lifetime of the repository.

Github issues are enabled, there are 17 open issues and 10 closed issues.

Homepage URL: https://capitalone.github.io/federated-model-aggregation/

All Topics

python edge-compute machine-learning federated-learning distributed-systems

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44 commits on the default branch (main) since jan '22

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updated: 2024-10-14 @ 07:00pm, id: 600194010 / R_kgDOI8Y72g