Differentially private machine learning at scale with JAX-Privacy

Google DeepMind and Google Research released JAX-Privacy 1.0, a library for differentially private machine learning built on JAX. The library enables researchers to implement DP algorithms for training deep learning models on large datasets and integrates private training into distributed workflows.