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Hutiri, Wiebke (author), Ding, Aaron Yi (author), Kawsar, Fahim (author), Mathur, Akhil (author)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-device ML is highly context dependent and sensitive to user, usage, hardware, and environment attributes. This sensitivity and the propensity toward bias in ML makes...journal article 2023
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Hutiri, Wiebke (author), Mathur, Akhil (author), Ding, Aaron Yi (author), Kawsar, F. (author)When deploying machine learning (ML) models on embedded and IoT devices, performance encompasses more than an accuracy metric: inference latency, energy consumption, and model fairness are necessary to ensure reliable performance under heterogeneous and resource-constrained operating conditions. To this end, prior research has studied model...conference paper 2021