Nicole Mitchell
Research interests span areas of trustworthy and efficient ML with recent work focused on federated learning.
Authored Publications
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Leveraging Function Space Aggregation for Federated Learning at Scale
Nikita Dhawan
Karolina Dziugaite
Transactions on Machine Learning Research (2024)
Towards Federated Foundation Models: Scalable Dataset Pipelines for Group-Structured Learning
Krishna Pillutla
Michael Reneer
37th Conference on Neural Information Processing Systems (NeurIPS 2023) Track on Datasets and Benchmarks (2023)
