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Disambiguation of "McMahan, Brendan"

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Privacy Amplification via Random Check-Ins.

, , , , and . NeurIPS, (2020)

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Brendan Herbst

Brendan Lovett

Brendan Erler

Brendan Creutz

Brendan Theunissen

 

Other publications of authors with the same name

Convergence of Gradient Descent with Linearly Correlated Noise and Applications to Differentially Private Learning., , , , and . CoRR, (2023)Practical and Private (Deep) Learning Without Sampling or Shuffling., , , , , and . ICML, volume 139 of Proceedings of Machine Learning Research, page 5213-5225. PMLR, (2021)Privacy Amplification via Random Check-Ins., , , , and . NeurIPS, (2020)cpSGD: Communication-efficient and differentially-private distributed SGD., , , , and . NeurIPS, page 7575-7586. (2018)Semi-Cyclic Stochastic Gradient Descent., , , , and . ICML, volume 97 of Proceedings of Machine Learning Research, page 1764-1773. PMLR, (2019)Federated Heavy Hitters Discovery with Differential Privacy., , , , and . AISTATS, volume 108 of Proceedings of Machine Learning Research, page 3837-3847. PMLR, (2020)How to DP-fy ML: A Practical Tutorial to Machine Learning with Differential Privacy., , , , , and . KDD, page 5823-5824. ACM, (2023)Communication-Efficient Learning of Deep Networks from Decentralized Data., , , , and . AISTATS, volume 54 of Proceedings of Machine Learning Research, page 1273-1282. PMLR, (2017)Federated Select: A Primitive for Communication- and Memory-Efficient Federated Learning., , , , and . CoRR, (2022)Towards Federated Learning at Scale: System Design., , , , , , , , , and 4 other author(s). SysML, mlsys.org, (2019)