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06/26/2023
Optimal Differentially Private Learning with Public Data
Differential Privacy (DP) ensures that training a machine learning model...
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10/17/2022
Stochastic Differentially Private and Fair Learning
Machine learning models are increasingly used in high-stakes decision-ma...
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09/15/2022
Private Stochastic Optimization in the Presence of Outliers: Optimal Rates for (Non-Smooth) Convex Losses and Extension to Non-Convex Losses
We study differentially private (DP) stochastic optimization (SO) with d...
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03/13/2022
Private Non-Convex Federated Learning Without a Trusted Server
We study differentially private (DP) federated learning (FL) with non-co...
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06/17/2021
Locally Differentially Private Federated Learning: Efficient Algorithms with Tight Risk Bounds
Federated learning (FL) is a distributed learning paradigm in which many...
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02/24/2021
FERMI: Fair Empirical Risk Minimization via Exponential Rényi Mutual Information
In this paper, we propose a new notion of fairness violation, called Exp...
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02/09/2021
