Vitaly Feldman

Efficient computation of the privacy loss distribution for random allocation

PREAMBLE: Private and Efficient Aggregation via Block Sparse Vectors

Privacy amplification by random allocation

Instance-Optimality for Private KL Distribution Estimation

Enabling Differentially Private Federated Learning for Speech Recognition: Benchmarks, Adaptive Optimizers, and Gradient Clipping

Local Pan-privacy for Federated Analytics