Mathews, Rajiv

4 publications

ICML 2022 Public Data-Assisted Mirror Descent for Private Model Training Ehsan Amid, Arun Ganesh, Rajiv Mathews, Swaroop Ramaswamy, Shuang Song, Thomas Steinke, Thomas Steinke, Vinith M Suriyakumar, Om Thakkar, Abhradeep Thakurta

NeurIPSW 2021 Jointly Learning from Decentralized (Federated) and Centralized Data to Mitigate Distribution Shift Sean Augenstein, Andrew Hard, Kurt Partridge, Rajiv Mathews

NeurIPS 2021 Revealing and Protecting Labels in Distributed Training Trung Dang, Om Thakkar, Swaroop Ramaswamy, Rajiv Mathews, Peter Chin, Françoise Beaufays

ICLR 2020 Generative Models for Effective ML on Private, Decentralized Datasets Sean Augenstein, H. Brendan McMahan, Daniel Ramage, Swaroop Ramaswamy, Peter Kairouz, Mingqing Chen, Rajiv Mathews, Blaise Aguera y Arcas