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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)Private Selection from Private Candidates., и . CoRR, (2018)Adversarially Robust Generalization Requires More Data, , , , и . (2018)cite arxiv:1804.11285Comment: Small changes for biblatex compatibility.Balanced Allocations: A Simple Proof for the Heavily Loaded Case., и . CoRR, (2013)Privacy, accuracy, and consistency too: a holistic solution to contingency table release., , , , , и . PODS, стр. 273-282. ACM, (2007)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)Online Linear Quadratic Control., , , , , и . ICML, том 80 из Proceedings of Machine Learning Research, стр. 1028-1037. PMLR, (2018)Amplification by Shuffling: From Local to Central Differential Privacy via Anonymity., , , , , и . SODA, стр. 2468-2479. SIAM, (2019)