5 citations · 5 across the 3 of their papers we have counts for
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cs.LG2023
Privacy-Aware Energy Consumption Modeling of Connected Battery Electric Vehicles using Federated Learning
Sen Yan, Hongyuan Fang, Ji Li +3
Battery Electric Vehicles (BEVs) are increasingly significant in modern cities due to their potential to reduce air pollution. Precise and real-time estimation of energy consumptio…
cs.LG2021★ 5 cited
Generation of Synthetic Electronic Health Records Using a Federated GAN
John Weldon, Tomas Ward, Eoin Brophy
Sensitive medical data is often subject to strict usage constraints. In this paper, we trained a generative adversarial network (GAN) on real-world electronic health records (EHR).…
cs.LG2020
Predicting Injectable Medication Adherence via a Smart Sharps Bin and Machine Learning
Yingqi Gu, Akshay Zalkikar, Lara Kelly +2
Medication non-adherence is a widespread problem affecting over 50% of people who have chronic illness and need chronic treatment. Non-adherence exacerbates health risks and drives…