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Sebastian Caldas
Sebastian Caldas
Verified email at cs.cmu.edu
Title
Cited by
Cited by
Year
Leaf: A benchmark for federated settings
S Caldas, SMK Duddu, P Wu, T Li, J Konečnư, HB McMahan, V Smith, ...
arXiv preprint arXiv:1812.01097, 2018
15202018
Expanding the reach of federated learning by reducing client resource requirements
S Caldas, J Konečny, HB McMahan, A Talwalkar
arXiv preprint arXiv:1812.07210, 2018
5092018
Differentially private meta-learning
J Li, M Khodak, S Caldas, A Talwalkar
arXiv preprint arXiv:1909.05830, 2019
1462019
Federated kernelized multi-task learning
S Caldas, V Smith, A Talwalkar
Proc. SysML Conf., 1-3, 2018
402018
Understanding Clinical Collaborations Through Federated Classifier Selection
S Caldas, JH Yoon, MR Pinsky, G Clermont, A Dubrawski
Machine Learning for Healthcare Conference, 126-145, 2021
52021
A case for federated learning: Enabling and leveraging inter-hospital collaboration
S Caldas, V Jeanselme, G Clermont, MR Pinsky, A Dubrawski
C33. QUALITY, PROCESSES, AND OUTCOMES IN ACUTE AND CRITICAL CARE, A4790-A4790, 2020
52020
Using Machine Learning to Support Transfer of Best Practices in Healthcare
S Caldas, J Chen, A Dubrawski
AMIA Annual Symposium Proceedings 2021, 265, 2021
42021
PICSR: Prototype-Informed Cross-Silo Router for Federated Learning (Student Abstract)
E Enouen, S Caldas, M Goswami, A Dubrawski
Proceedings of the AAAI Conference on Artificial Intelligence 38 (21), 23482 …, 2024
2024
Encoding Expert Knowledge into Federated Learning using Weak Supervision
S Caldas, M Goswami, A Dubrawski
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