Private Stochastic Convex Optimization with Heavy Tails: Near-Optimality from Simple Reductions

Hilal Asi, Daogao Liu, Kevin Tian

We study the problem of differentially private stochastic convex optimization (DP-SCO) with heavy-tailed gradients, where we assume a $k^{\text{th}}$-moment bound on the Lipschitz…