Nicole Mitchell

15 papers A* 1Journal 11Unranked 3
YearRankTypeTitle / Venue / Authors
2025 — conf
Learning with User-Level Differential Privacy Under Fixed Compute Budgets.
SaTML
Zachary Charles, Arun Ganesh, Ryan McKenna, H. Brendan McMahan, Nicole Mitchell, Krishna Pillutla, Keith Rush
2025 J jnl
Redirection for Erasing Memory (REM): Towards a universal unlearning method for corrupted data.
CoRR
Stefan Schoepf, Michael Curtis Mozer, Nicole Mitchell, Alexandra Brintrup, Georgios Kaissis, Peter Kairouz, Eleni Triantafillou
2024 J jnl
Fine-Tuning Large Language Models with User-Level Differential Privacy.
CoRR
Zachary Charles, Arun Ganesh, Ryan McKenna, H. Brendan McMahan, Nicole Mitchell, Krishna Pillutla, Keith Rush
2024 — conf
Jaxpruner: A Concise Library for Sparsity Research.
CPAL
Joo Hyung Lee, Wonpyo Park, Nicole Mitchell, Jonathan Pilault, Johan Samir Obando Ceron, Han-Byul Kim, Namhoon Lee, Elias Frantar, Yun Long, Amir Yazdanbakhsh, Woohyun Han, Shivani Agrawal, Suvinay Subramanian, Xin Wang, Sheng-Chun Kao, Xingyao Zhang, Trevor Gale, Aart J. C. Bik, Milen Ferev, Zhonglin Han, Hong-Seok Kim, Yann N. Dauphin, Gintare Karolina Dziugaite, Pablo Samuel Castro, Utku Evci
2024 J jnl
Leveraging Function Space Aggregation for Federated Learning at Scale.
Trans. Mach. Learn. Res.
Nikita Dhawan, Nicole Mitchell, Zachary Charles, Zachary Garrett, Gintare Karolina Dziugaite
2024 J jnl
Machine Unlearning Doesn't Do What You Think: Lessons for Generative AI Policy, Research, and Practice.
CoRR
A. Feder Cooper, Christopher A. Choquette-Choo, Miranda Bogen, Matthew Jagielski, Katja Filippova, Ken Ziyu Liu, Alexandra Chouldechova, Jamie Hayes, Yangsibo Huang, Niloofar Mireshghallah, Ilia Shumailov, Eleni Triantafillou, Peter Kairouz, Nicole Mitchell, Percy Liang, Daniel E. Ho, Yejin Choi, Sanmi Koyejo, Fernando A. Delgado, James Grimmelmann, Vitaly Shmatikov, Christopher De Sa, Solon Barocas, Amy Cyphert, Mark A. Lemley, danah boyd, Jennifer Wortman Vaughan, Miles Brundage, David Bau, Seth Neel, Abigail Z. Jacobs, Andreas Terzis, Hanna M. Wallach, Nicolas Papernot, Katherine Lee
2023 — conf
A Rate-Distortion View on Model Updates.
Tiny Papers @ ICLR
Nicole Mitchell, Johannes Ballé, Zachary Charles, Jakub Konecný
2023 J jnl
JaxPruner: A concise library for sparsity research.
CoRR
Joo Hyung Lee, Wonpyo Park, Nicole Mitchell, Jonathan Pilault, Johan S. Obando-Ceron, Han-Byul Kim, Namhoon Lee, Elias Frantar, Yun Long, Amir Yazdanbakhsh, Shivani Agrawal, Suvinay Subramanian, Xin Wang, Sheng-Chun Kao, Xingyao Zhang, Trevor Gale, Aart J. C. Bik, Woohyun Han, Milen Ferev, Zhonglin Han, Hong-Seok Kim, Yann N. Dauphin, Karolina Dziugaite, Pablo Samuel Castro, Utku Evci
2023 J jnl
Leveraging Function Space Aggregation for Federated Learning at Scale.
CoRR
Nikita Dhawan, Nicole Mitchell, Zachary Charles, Zachary Garrett, Gintare Karolina Dziugaite
2023 A* conf
Towards Federated Foundation Models: Scalable Dataset Pipelines for Group-Structured Learning.
NeurIPS
Zachary Charles, Nicole Mitchell, Krishna Pillutla, Michael Reneer, Zachary Garrett
2023 J jnl
Towards Federated Foundation Models: Scalable Dataset Pipelines for Group-Structured Learning.
CoRR
Zachary Charles, Nicole Mitchell, Krishna Pillutla, Michael Reneer, Zachary Garrett
2022 J jnl
Optimizing the Communication-Accuracy Trade-off in Federated Learning with Rate-Distortion Theory.
CoRR
Nicole Mitchell, Johannes Ballé, Zachary Charles, Jakub Konecný
2011 J jnl
Ksenija Mincic-Obradovic.
Coll. Res. Libr.
Nicole Mitchell
2010 J jnl
Kay Ann Cassell and Uma Hiremath.
Coll. Res. Libr.
Nicole Mitchell
2008 J jnl
Library 2.0: A guide to participatory library service.
J. Assoc. Inf. Sci. Technol.
Nicole Mitchell