66 citations · 93 across the 6 of their papers we have counts for
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cs.DC2019★ 66 cited
Zygarde: Time-Sensitive On-Device Deep Inference and Adaptation on Intermittently-Powered Systems
Bashima Islam, Shahriar Nirjon
We propose Zygarde -- which is an energy -- and accuracy-aware soft real-time task scheduling framework for batteryless systems that flexibly execute deep learning tasks1 that are…
cs.LG2019★ 12 cited
Intermittent Learning: On-Device Machine Learning on Intermittently Powered System
Seulki Lee, Bashima Islam, Yubo Luo +1
This paper introduces intermittent learning - the goal of which is to enable energy harvested computing platforms capable of executing certain classes of machine learning tasks eff…