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cs.LG2024
Exploring Loss Design Techniques For Decision Tree Robustness To Label Noise
Lukasz Sztukiewicz, Jack Henry Good, Artur Dubrawski
In the real world, data is often noisy, affecting not only the quality of features but also the accuracy of labels. Current research on mitigating label errors stems primarily from…
cs.LG2023
Coordinated Replay Sample Selection for Continual Federated Learning
Jack Good, Jimit Majmudar, Christophe Dupuy +5
Continual Federated Learning (CFL) combines Federated Learning (FL), the decentralized learning of a central model on a number of client devices that may not communicate their data…