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Exploring the Memorization-Generalization Continuum in Deep Learning., , , и . CoRR, (2020)Federated Learning with Differential Privacy for End-to-End Speech Recognition., , , , , и . CoRR, (2023)Differentially Private Combinatorial Optimization., , , , и . Parameterized complexity and approximation algorithms, том 09511 из Dagstuhl Seminar Proceedings, Schloss Dagstuhl - Leibniz-Zentrum für Informatik, Germany, (2009)Using Convex Relaxations for Efficiently and Privately Releasing Marginals., , и . SoCG, стр. 261. ACM, (2014)Amplification by Shuffling: From Local to Central Differential Privacy via Anonymity., , , , , и . SODA, стр. 2468-2479. SIAM, (2019)The (1 + beta)-Choice Process and Weighted Balls-into-Bins., , и . SODA, стр. 1613-1619. SIAM, (2010)On the geometry of differential privacy., и . STOC, стр. 705-714. ACM, (2010)Unconditional differentially private mechanisms for linear queries., , , и . STOC, стр. 1269-1284. ACM, (2012)Privacy, accuracy, and consistency too: a holistic solution to contingency table release., , , , , и . PODS, стр. 273-282. ACM, (2007)Balanced Allocations: A Simple Proof for the Heavily Loaded Case., и . CoRR, (2013)