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Personalization Improves Privacy-Accuracy Tradeoffs in Federated Learning.

, , , , and . ICML, volume 162 of Proceedings of Machine Learning Research, page 1945-1962. PMLR, (2022)

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Preventing Fairness Gerrymandering: Auditing and Learning for Subgroup Fairness., , , and . ICML, volume 80 of Proceedings of Machine Learning Research, page 2569-2577. PMLR, (2018)Privacy and Truthful Equilibrium Selection for Aggregative Games., , , and . CoRR, (2014)Preventing Fairness Gerrymandering: Auditing and Learning for Subgroup Fairness., , , and . CoRR, (2017)Dual Query: Practical Private Query Release for High Dimensional Data., , , , and . J. Priv. Confidentiality, (2016)Competing Bandits: The Perils of Exploration Under Competition., , , and . CoRR, (2020)Multidimensional Dynamic Pricing for Welfare Maximization., , , and . CoRR, (2016)Accuracy First: Selecting a Differential Privacy Level for Accuracy-Constrained ERM., , , , and . J. Priv. Confidentiality, (2019)Extended Analysis of "How Child Welfare Workers Reduce Racial Disparities in Algorithmic Decisions"., , , , , , , , , and . CoRR, (2022)Designing Interfaces to Help Stakeholders Comprehend, Navigate, and Manage Algorithmic Trade-Offs., , , , and . CoRR, (2019)Ex-post Individually Rational Bayesian Persuasion., , , and . CoRR, (2023)