differential-privacy-federated-learning

Henrique-Potter

Differential Privacy applied to distributed NN with PyTorch. A pure python introduction.

distributed

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2 Stars

0 Forks

2 Watchers

Python Language

Cost to Build

$670

Market Value

$500

How is this calculated?

Growth over time

6 data points · 2021-07-01 → 2022-11-01

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What is the Henrique-Potter/differential-privacy-federated-learning GitHub project? Description: "Differential Privacy applied to distributed NN with PyTorch. A pure python introduction.". Written in Python. Explain what it does, its main use cases, key features, and who would benefit from using it.

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