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Nicole Mitchell
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Using parallelized incremental meta-docking can solve the conformational sampling issue when docking large ligands to proteins
D Devaurs, DA Antunes, S Hall-Swan, N Mitchell, M Moll, G Lizée, ...
BMC molecular and cell biology 20, 1-15, 2019
332019
Optimizing the communication-accuracy trade-off in federated learning with rate-distortion theory
N Mitchell, J Ballé, Z Charles, J Konečný
arXiv preprint arXiv:2201.02664, 2022
232022
Towards federated foundation models: Scalable dataset pipelines for group-structured learning
Z Charles, N Mitchell, K Pillutla, M Reneer, Z Garrett
Advances in Neural Information Processing Systems 36, 2024
172024
Fine-tuning large language models with user-level differential privacy
Z Charles, A Ganesh, R McKenna, HB McMahan, N Mitchell, K Pillutla, ...
arXiv preprint arXiv:2407.07737, 2024
62024
JaxPruner: A concise library for sparsity research
JH Lee, W Park, NE Mitchell, J Pilault, JSO Ceron, HB Kim, N Lee, ...
Conference on Parsimony and Learning, 515-528, 2024
52024
Leveraging Function Space Aggregation for Federated Learning at Scale
N Dhawan, N Mitchell, Z Charles, Z Garrett, GK Dziugaite
arXiv preprint arXiv:2311.10291, 2023
12023
A Rate--Distortion View on Model Updates
NE Mitchell, J Ballé, Z Charles, J Konečný
2023
Machine Learning-Based Prediction of Sites of Metabolism in Drugs: Exploring Feature Extraction Methods on Molecular Graphs
NE Mitchell
Rice University, 2020
2020
Examining Data Compartmentalization for AI Governance
N Mitchell, P Kairouz, E Triantafillou
DrJAX: Scalable and Differentiable MapReduce Primitives in JAX
JK Rush, Z Charles, Z Garrett, S Augenstein, NE Mitchell
2nd Workshop on Advancing Neural Network Training: Computational Efficiency …, 0
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Articles 1–10