# JeffffffFu/Awesome-Differential-Privacy-and-Meachine-Learning

<https://repo.masters-masters.com/en/repos/JeffffffFu/Awesome-Differential-Privacy-and-Meachine-Learning>

[Home](https://repo.masters-masters.com/en) › [JeffffffFu](https://repo.masters-masters.com/en/owners/JeffffffFu) › [Awesome-Differential-Privacy-and-Meachine-Learning](https://repo.masters-masters.com/en/repos/JeffffffFu/Awesome-Differential-Privacy-and-Meachine-Learning)

JeffffffFu/Awesome-Differential-Privacy-and-Meachine-Learning has 385 stars on GitHub. Its RepoMasters card: Alpha tier. Differentially private federated…

| Field | Value |
| --- | --- |
| Owner | [JeffffffFu](https://repo.masters-masters.com/en/owners/JeffffffFu) |
| Stars | 385 |
| Forks | 38 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | None |
| Created | 2022 |
| Topics | deep-learning, privacy, differential-privacy, dpsgd, federated-learning |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [JeffffffFu/Awesome-Differential-Privacy-and-Meachine-Learning](https://github.com/JeffffffFu/Awesome-Differential-Privacy-and-Meachine-Learning) |

## Repository

Differentially private federated learning: A systematic review (ACM Survey); Adap dp-fl: Differentially private federated learning with adaptive noise (TrustCom'2022)

The tier for repos with 250 to 699 ★. Published odds per card pulled: 20%. Rarity: Uncommon.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.