Sean Augenstein

According to our database, Sean Augenstein authored at least 12 papers between 2011 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Cascade-Aware Training of Language Models.

Congchao Wang, Sean Augenstein, Keith Rush, Wittawat Jitkrittum, Harikrishna Narasimhan, Ankit Singh Rawat, Aditya Krishna Menon, Alec Go

CoRR, 2024

Learning from straggler clients in federated learning.

Andrew Hard, Antonious M. Girgis, Ehsan Amid, Sean Augenstein, Lara McConnaughey, Rajiv Mathews, Rohan Anil

CoRR, 2024

2023

Learning to Generate Image Embeddings with User-Level Differential Privacy.

Zheng Xu, Maxwell D. Collins, Yuxiao Wang, Liviu Panait, Sewoong Oh, Sean Augenstein, Ting Liu, Florian Schroff, H. Brendan McMahan

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Mixed Federated Learning: Joint Decentralized and Centralized Learning.

Sean Augenstein, Andrew Hard, Lin Ning, Karan Singhal, Satyen Kale, Kurt Partridge, Rajiv Mathews

CoRR, 2022

Production federated keyword spotting via distillation, filtering, and joint federated-centralized training.

Andrew Hard, Kurt Partridge, Neng Chen, Sean Augenstein, Aishanee Shah, Hyun Jin Park, Alex Park, Sara Ng, Jessica Nguyen, Ignacio López-Moreno, Rajiv Mathews, Françoise Beaufays

Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022

2021

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

Sean Augenstein, Andrew Hard, Kurt Partridge, Rajiv Mathews

CoRR, 2021

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 Agüera y Arcas

Proceedings of the 8th International Conference on Learning Representations, 2020

2018

Federated Learning for Mobile Keyboard Prediction.

Andrew Hard, Kanishka Rao, Rajiv Mathews, Françoise Beaufays, Sean Augenstein, Hubert Eichner, Chloé Kiddon, Daniel Ramage

CoRR, 2018

2016

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

Sean Augenstein, Alejandra Estanislao, Emmanuel Guere, Sean Blaes

Proceedings of the Twenty-Sixth International Conference on Automated Planning and Scheduling, 2016

2014

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

Sean Augenstein

Proceedings of the 2014 AAAI Spring Symposia, 2014

2012

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

Jose Padial, Marcus Hammond, Sean Augenstein, Stephen M. Rock

Proceedings of the IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems, 2012

2011

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

Sean Augenstein, Stephen M. Rock

Proceedings of the IEEE International Conference on Robotics and Automation, 2011