Beyond Square Roots: A Memory-Efficient Explicit Factorization for Multi-Epoch Private Learning

Nikita P. Kalinin, Aki Rehn, Joel Daniel Andersson +2

Correlated-noise mechanisms are among the most promising approaches for improving the utility of differentially private model training, but rigorous guarantees require explicit, an…