126 citations · 416 across the 20 of their papers we have counts for
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cs.LG2022
Tiny, always-on and fragile: Bias propagation through design choices in on-device machine learning workflows
Wiebke Toussaint, Aaron Yi Ding, Fahim Kawsar +1
Billions of distributed, heterogeneous and resource constrained IoT devices deploy on-device machine learning (ML) for private, fast and offline inference on personal data. On-devi…
cs.LG2020★ 13 cited
Machine Learning Systems in the IoT: Trustworthiness Trade-offs for Edge Intelligence
Wiebke Toussaint, Aaron Yi Ding
Machine learning systems (MLSys) are emerging in the Internet of Things (IoT) to provision edge intelligence, which is paving our way towards the vision of ubiquitous intelligence.…
cs.LG2019★ 4 cited
Transfer Learning-Based Outdoor Position Recovery with Telco Data
Yige Zhang, Aaron Yi Ding, Jorg Ott +4
Telecommunication (Telco) outdoor position recovery aims to localize outdoor mobile devices by leveraging measurement report (MR) data. Unfortunately, Telco position recovery requi…