Rush, John

5 publications

NeurIPS 2023 (Amplified) Banded Matrix Factorization: A Unified Approach to Private Training Christopher A. Choquette-Choo, Arun Ganesh, Ryan McKenna, H. Brendan McMahan, John Rush, Abhradeep Guha Thakurta, Zheng Xu

NeurIPS 2023 Gradient Descent with Linearly Correlated Noise: Theory and Applications to Differential Privacy Anastasiia Koloskova, Ryan McKenna, Zachary Charles, John Rush, H. Brendan McMahan

NeurIPS 2022 Improved Differential Privacy for SGD via Optimal Private Linear Operators on Adaptive Streams Sergey Denisov, H. Brendan McMahan, John Rush, Adam Smith, Abhradeep Guha Thakurta

NeurIPS 2021 Differentially Private Model Personalization Prateek Jain, John Rush, Adam Smith, Shuang Song, Abhradeep Guha Thakurta

NeurIPS 2021 Federated Reconstruction: Partially Local Federated Learning Karan Singhal, Hakim Sidahmed, Zachary Garrett, Shanshan Wu, John Rush, Sushant Prakash