3 citations · 3 across the 3 of their papers we have counts for
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cs.LG2021★ 3 cited
Knowing when we do not know: Bayesian continual learning for sensing-based analysis tasks
Sandra Servia-Rodriguez, Cecilia Mascolo, Young D. Kwon
Despite much research targeted at enabling conventional machine learning models to continually learn tasks and data distributions sequentially without forgetting the knowledge acqu…
cs.LG2017
Privacy-Preserving Personal Model Training
Sandra Servia-Rodriguez, Liang Wang, Jianxin R. Zhao +2
Many current Internet services rely on inferences from models trained on user data. Commonly, both the training and inference tasks are carried out using cloud resources fed by per…