wenzhu23333 / Differential-Privacy-Based-Federated-Learning

Everything you want about DP-Based Federated Learning, including Papers and Code. (Mechanism: Laplace or Gaussian, Dataset: femnist, shakespeare, mnist, cifar-10 and fashion-mnist. )

Date Created 2022-03-08 (2 years ago)

Commits 57 (last one 11 days ago)

Stargazers 343 (0 this week)

Watchers 2 (0 this week)

Forks 54

License gpl-3.0

Ranking

RepositoryStats indexes 579,238 repositories, of these wenzhu23333/Differential-Privacy-Based-Federated-Learning is ranked #119,315 (79th percentile) for total stargazers, and #475,806 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #20,163/115,001.

wenzhu23333/Differential-Privacy-Based-Federated-Learning is also tagged with popular topics, for these it's ranked: deep-learning (#2,592/8339), pytorch (#1,747/5908), privacy (#383/1027), federated-learning (#38/200)

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wenzhu23333/Differential-Privacy-Based-Federated-Learning has Github issues enabled, there are 4 open issues and 26 closed issues.

All Topics

laplace privacy pytorch gaussian deep-learning federated-learning differential-privacy

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57 commits on the default branch (master) since jan '22

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updated: 2024-11-06 @ 01:01am, id: 467369884 / R_kgDOG9t_nA