2 papers
cs.CR2025
Back to Square Roots: An Optimal Bound on the Matrix Factorization Error for Multi-Epoch Differentially Private SGD
Nikita P. Kalinin, Ryan McKenna, Jalaj Upadhyay +1
Matrix factorization mechanisms for differentially private training have emerged as a promising approach to improve model utility under privacy constraints. In practical settings,…
cs.LG2025
Continual Release Moment Estimation with Differential Privacy
Nikita P. Kalinin, Jalaj Upadhyay, Christoph H. Lampert
We propose Joint Moment Estimation (JME), a method for continually and privately estimating both the first and second moments of data with reduced noise compared to naive approache…