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Characterization of Convex Objective Functions and Optimal Expected Convergence Rates for SGD., , , и . ICML, том 97 из Proceedings of Machine Learning Research, стр. 6392-6400. PMLR, (2019)Splitting the Interpose PUF: A Novel Modeling Attack Strategy., , , , , , , и . IACR Cryptology ePrint Archive, (2019)Asynchronous Federated Learning with Reduced Number of Rounds and with Differential Privacy from Less Aggregated Gaussian Noise., , , , , и . CoRR, (2020)Quantifying and Mitigating Privacy Risks for Tabular Generative Models., , , , , и . CoRR, (2024)Differential Private Hogwild! over Distributed Local Data Sets., , , , и . CoRR, (2021)Finite-Sum Optimization: A New Perspective for Convergence to a Global Solution., , и . CoRR, (2022)Optimal Finite-Sum Smooth Non-Convex Optimization with SARAH., , , , , и . CoRR, (2019)Autonomous Secure Remote Attestation even when all Used and to be Used Digital Keys Leak., , , , и . IACR Cryptol. ePrint Arch., (2021)Design and Implementation of the Ascend Secure Processor., , , , и . IEEE Trans. Dependable Secur. Comput., 16 (2): 204-216 (2019)Connecting the Dots: Privacy Leakage via Write-Access Patterns to the Main Memory., , , и . IEEE Trans. Dependable Secur. Comput., 17 (2): 436-442 (2020)