Andrew Lowy, Meisam Razaviyayn. Private Stochastic Optimization with Large Worst-Case Lipschitz Parameter: Optimal Rates for (Non-Smooth) Convex Losses and Extension to Non-Convex Losses. In Shipra Agrawal 0001, Francesco Orabona, editors, International Conference on Algorithmic Learning Theory, February 20-23, 2023, Singapore. Volume 201 of Proceedings of Machine Learning Research, pages 986-1054, PMLR, 2023. [doi]
Abstract is missing.