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H. Brendan McMahan

Efficient and Near-Optimal Noise Generation for Streaming Differential Privacy

Apr 26, 2024
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(Amplified) Banded Matrix Factorization: A unified approach to private training

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Jun 13, 2023
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Federated Learning of Gboard Language Models with Differential Privacy

May 29, 2023
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Unleashing the Power of Randomization in Auditing Differentially Private ML

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May 29, 2023
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Can Public Large Language Models Help Private Cross-device Federated Learning?

May 20, 2023
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An Empirical Evaluation of Federated Contextual Bandit Algorithms

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Mar 17, 2023
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How to DP-fy ML: A Practical Guide to Machine Learning with Differential Privacy

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Mar 02, 2023
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One-shot Empirical Privacy Estimation for Federated Learning

Feb 08, 2023
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Differentially Private Adaptive Optimization with Delayed Preconditioners

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Dec 01, 2022
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Learning to Generate Image Embeddings with User-level Differential Privacy

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Nov 20, 2022
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