Library 2.0: A guide to participatory library service. - Nicole Mitchell (J. Assoc. Inf. Sci. Technol., 2008)

Kay Ann Cassell and Uma Hiremath. Reference and Information Services in the 21st Century: An Introduction. 2nd ed. New York: Neal-Schuman Publishers, 2009. 461p. alk. paper, $69.95 (ISBN 9781555706722). LC2009-023650. - Nicole Mitchell (Coll. Res. Libr., 2010)

Reference Renaissance: Current and Future Trends. Eds. Marie L. Radford and R. David Lankes. New York: Neal-Schuman, 2010. 312p. alk. paper $75 (ISBN 978-1555706807). LC2010-000229. - Nicole Mitchell (Coll. Res. Libr., 2011)

Ksenija Mincic-Obradovic. E-books in Academic Libraries. Oxford, United Kingdom: Chandos, 2011. 203p. $80 (ISBN 9781843345862). - Nicole Mitchell (Coll. Res. Libr., 2011)

Optimizing the Communication-Accuracy Trade-off in Federated Learning with Rate-Distortion Theory. - Nicole Mitchell; Johannes Ballé; Zachary Charles; Jakub Konecný (CoRR, 2022)

A Rate-Distortion View on Model Updates. - Nicole Mitchell; Johannes Ballé; Zachary Charles; Jakub Konecný (Tiny Papers @ ICLR, 2023)

Towards Federated Foundation Models: Scalable Dataset Pipelines for Group-Structured Learning. - Zachary Charles; Nicole Mitchell; Krishna Pillutla; Michael Reneer; Zachary Garrett (NeurIPS, 2023)

Jaxpruner: A Concise Library for Sparsity Research. - 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; et al. (CPAL, 2024)

Fine-Tuning Large Language Models with User-Level Differential Privacy. - Zachary Charles; Arun Ganesh; Ryan McKenna; H. Brendan McMahan; Nicole Mitchell; Krishna Pillutla; Keith Rush (CoRR, 2024)

Machine Unlearning Doesn't Do What You Think: Lessons for Generative AI Policy, Research, and Practice. - 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; et al. (CoRR, 2024)

Leveraging Function Space Aggregation for Federated Learning at Scale. - Nikita Dhawan; Nicole Mitchell; Zachary Charles; Zachary Garrett; Gintare Karolina Dziugaite (Trans. Mach. Learn. Res., 2024)

Learning with User-Level Differential Privacy Under Fixed Compute Budgets. - Zachary Charles; Arun Ganesh; Ryan McKenna; H. Brendan McMahan; Nicole Mitchell; Krishna Pillutla; Keith Rush (SaTML, 2025)

Redirection for Erasing Memory (REM): Towards a universal unlearning method for corrupted data. - Stefan Schoepf; Michael Curtis Mozer; Nicole Mitchell; Alexandra Brintrup; Georgios Kaissis; Peter Kairouz; Eleni Triantafillou (CoRR, 2025)