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Characterization of Convex Objective Functions and Optimal Expected Convergence Rates for SGD., , , and . ICML, volume 97 of Proceedings of Machine Learning Research, page 6392-6400. PMLR, (2019)Asynchronous Federated Learning with Reduced Number of Rounds and with Differential Privacy from Less Aggregated Gaussian Noise., , , , , and . CoRR, (2020)Splitting the Interpose PUF: A Novel Modeling Attack Strategy., , , , , , , and . IACR Cryptology ePrint Archive, (2019)Considerations on the Theory of Training Models with Differential Privacy., and . CoRR, (2023)A Retrospective on Path ORAM., , , , , , and . IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 39 (8): 1572-1576 (2020)Path ORAM: An Extremely Simple Oblivious RAM Protocol., , , , , , , and . J. ACM, 65 (4): 18:1-18:26 (2018)Besting the Black-Box: Barrier Zones for Adversarial Example Defense., , , , and . IEEE Access, (2022)Differential Private Hogwild! over Distributed Local Data Sets., , , , and . CoRR, (2021)Finite-Sum Optimization: A New Perspective for Convergence to a Global Solution., , and . CoRR, (2022)Optimal Finite-Sum Smooth Non-Convex Optimization with SARAH., , , , , and . CoRR, (2019)