# Differentially private machine learning at scale with JAX-Privacy

DevFeed: [Differentially private machine learning at scale with JAX-Privacy](<https://devfeed.tech/articles/differentially-private-machine-learning-at-scale-with-jax-privacy-6760.md>)

Original publisher: [Read original article](<https://research.google/blog/differentially-private-machine-learning-at-scale-with-jax-privacy/>)

Published: 2025-11-12T15:32:00Z

Content type: article

Language: en

Sources: [The latest research from Google](<https://devfeed.tech/sources/the-latest-research-from-google.md>)

Topics: [Machine Learning & Artificial Intelligence](<https://devfeed.tech/topics/machine-learning-artificial-intelligence.md>), [Algorithms, Complexity](<https://devfeed.tech/topics/algorithms-complexity.md>), [Deep learning](<https://devfeed.tech/topics/deep-learning.md>), [distributed-training](<https://devfeed.tech/topics/distributed-training.md>), [data](<https://devfeed.tech/topics/data.md>), [Google](<https://devfeed.tech/topics/google.md>), [High-Performance Computing](<https://devfeed.tech/topics/high-performance-computing.md>), [Programming](<https://devfeed.tech/topics/programming.md>)

Tags: [algorithms](<https://devfeed.tech/tags/algorithms.md>), [algorithms-theory](<https://devfeed.tech/tags/algorithms-theory.md>), [data](<https://devfeed.tech/tags/data.md>), [deep-learning](<https://devfeed.tech/tags/deep-learning.md>), [distributed-training](<https://devfeed.tech/tags/distributed-training.md>), [google](<https://devfeed.tech/tags/google.md>), [high-performance-computing](<https://devfeed.tech/tags/high-performance-computing.md>), [libraries](<https://devfeed.tech/tags/libraries.md>), [machine-learning](<https://devfeed.tech/tags/machine-learning.md>), [release](<https://devfeed.tech/tags/release.md>), [research](<https://devfeed.tech/tags/research.md>), [responsible-ai](<https://devfeed.tech/tags/responsible-ai.md>), [scalability](<https://devfeed.tech/tags/scalability.md>), [security-privacy-and-abuse-prevention](<https://devfeed.tech/tags/security-privacy-and-abuse-prevention.md>), [training](<https://devfeed.tech/tags/training.md>)

## AI overview

Google announces JAX-Privacy 1.0, a library for differentially private machine learning built on JAX. The release is intended to help researchers and developers implement, audit, and scale private training workflows for deep learning models using large datasets and distributed training.

## Source excerpt

Algorithms & Theory