Sean Augenstein

Generative Models for Effective ML on Private, Decentralized Datasets pdf

H. Brendan McMahan, Peter Kairouz, Swaroop Ramaswamy, 2019, ICLR.

Optimal Scheduling of a Constellation of Earth-Imaging Satellites, for Maximal Data Throughput and Efficient Human Management

Sean Augenstein, Alejandra Estanislao, Emmanuel Guere, 2016, ICAPS.

Improved frame-to-frame pose tracking during vision-only SLAM/SFM with a tumbling target

Stephen M. Rock, Sean Augenstein, S. Rock, 2011, 2011 IEEE International Conference on Robotics and Automation.

Optimal Scheduling of Earth-Imaging Satellites with Human Collaboration via Directed Acyclic Graphs

Sean Augenstein, 2014, AAAI Spring Symposia.

Tumbling target reconstruction and pose estimation through fusion of monocular vision and sparse-pattern range data

Stephen M. Rock, Sean Augenstein, Marcus Hammond, 2012, 2012 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI).

Federated Learning for Mobile Keyboard Prediction pdf

Hubert Eichner, Sean Augenstein, Daniel Ramage, 2018, ArXiv.

Jointly Learning from Decentralized (Federated) and Centralized Data to Mitigate Distribution Shift pdf

Sean Augenstein, Rajiv Mathews, Kurt Partridge, 2021, ArXiv.