Keith Rush

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 17

Top Topics

Personalized Ranking

Matrix Factorization

Federated Databases

Top Venues

Publications

Zachary Charles, Arun Ganesh, Ryan McKenna, H. Brendan McMahan, Nicole Mitchell, Krishna Pillutla, Keith Rush
Fine-Tuning Large Language Models with User-Level Differential Privacy. CoRR (2024)
Congchao Wang, Sean Augenstein, Keith Rush, Wittawat Jitkrittum, Harikrishna Narasimhan, Ankit Singh Rawat, Aditya Krishna Menon, Alec Go
Cascade-Aware Training of Language Models. CoRR (2024)
Keith Rush, Zachary Charles, Zachary Garrett
FAX: Scalable and Differentiable Federated Primitives in JAX. CoRR (2024)
Anastasia Koloskova, Ryan McKenna, Zachary Charles, Keith Rush, Brendan McMahan
Convergence of Gradient Descent with Linearly Correlated Noise and Applications to Differentially Private Learning. CoRR (2023)
Keith Rush, Zachary Charles, Zachary Garrett
Federated Automatic Differentiation. CoRR (2023)
Christopher A. Choquette-Choo, Arun Ganesh, Ryan McKenna, H. Brendan McMahan, Keith Rush, Abhradeep Guha Thakurta, Zheng Xu
(Amplified) Banded Matrix Factorization: A unified approach to private training. CoRR (2023)
Brendan McMahan, Keith Rush, Abhradeep Guha Thakurta
Private Online Prefix Sums via Optimal Matrix Factorizations. CoRR (2022)
Christopher A. Choquette-Choo, H. Brendan McMahan, Keith Rush, Abhradeep Thakurta
Multi-Epoch Matrix Factorization Mechanisms for Private Machine Learning. CoRR (2022)
Zachary Charles, Keith Rush
Iterated Vector Fields and Conservatism, with Applications to Federated Learning. ALT (2022)
Gary Cheng, Zachary Charles, Zachary Garrett, Keith Rush
Does Federated Dropout actually work? CVPR Workshops (2022)
Sashank J. Reddi, Zachary Charles, Manzil Zaheer, Zachary Garrett, Keith Rush, Jakub Konecný, Sanjiv Kumar, Hugh Brendan McMahan
Adaptive Federated Optimization. ICLR (2021)
Zachary Charles, Keith Rush
Iterated Vector Fields and Conservatism, with Applications to Federated Learning. CoRR (2021)
Peter Kairouz, Mónica Ribero Diaz, Keith Rush, Abhradeep Thakurta
(Nearly) Dimension Independent Private ERM with AdaGrad Ratesvia Publicly Estimated Subspaces. COLT (2021)
Karan Singhal, Hakim Sidahmed, Zachary Garrett, Shanshan Wu, Keith Rush, Sushant Prakash
Federated Reconstruction: Partially Local Federated Learning. CoRR (2021)
Sashank J. Reddi, Zachary Charles, Manzil Zaheer, Zachary Garrett, Keith Rush, Jakub Konecný, Sanjiv Kumar, H. Brendan McMahan
Adaptive Federated Optimization. CoRR (2020)
Peter Kairouz, Mónica Ribero, Keith Rush, Abhradeep Thakurta
Dimension Independence in Unconstrained Private ERM via Adaptive Preconditioning. CoRR (2020)
Yihan Jiang, Jakub Konecný, Keith Rush, Sreeram Kannan
Improving Federated Learning Personalization via Model Agnostic Meta Learning. CoRR (2019)