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Less Regret via Online Conditioning, и . CoRR, (2010)Federated Learning: Strategies for Improving Communication Efficiency, , , , , и . (2016)cite arxiv:1610.05492.Generative Models for Effective ML on Private, Decentralized Datasets., , , , , , , и . ICLR, OpenReview.net, (2020)Privacy Amplification via Random Check-Ins., , , , и . CoRR, (2020)SysML: The New Frontier of Machine Learning Systems., , , , , , , , , и 56 other автор(ы). CoRR, (2019)How to DP-fy ML: A Practical Guide to Machine Learning with Differential Privacy., , , , , , , , и . CoRR, (2023)An Empirical Evaluation of Federated Contextual Bandit Algorithms., , и . CoRR, (2023)Large-Scale Learning with Less RAM via Randomization., , , и . ICML (2), том 28 из JMLR Workshop and Conference Proceedings, стр. 325-333. JMLR.org, (2013)A Field Guide to Federated Optimization., , , , , , , , , и 43 other автор(ы). CoRR, (2021)One-shot Empirical Privacy Estimation for Federated Learning., , , , , и . CoRR, (2023)