Keith Rush

机构：Google (United States) · ORCID：0000-0003-3190-0557

发表论文 32 篇 · 总被引 615 次 · h-index 8

代表论文

• Adaptive Federated Optimization (2020 · arXiv (Cornell University) · 被引 127)
• Federated Reconstruction: Partially Local Federated Learning (2021 · arXiv (Cornell University) · 被引 24)
• Does Federated Dropout actually work? (2022 · 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) · 被引 23)
• (Nearly) Dimension Independent Private ERM with AdaGrad Rates\{via Publicly Estimated Subspaces (2021 · Conference on Learning Theory · 被引 11)
• Improved Differential Privacy for SGD via Optimal Private Linear Operators on Adaptive Streams (2022 · arXiv (Cornell University) · 被引 9)
• Dimension Independence in Unconstrained Private ERM via Adaptive Preconditioning. (2020 · arXiv (Cornell University) · 被引 8)