"Tiny, always-on and fragile: Bias propagation through design choices in ..."

Wiebke Toussaint et al. (2022)

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DOI: —

access: open

type: Informal or Other Publication

metadata version: 2022-02-01

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  - electronic edition @ arxiv.org (open access)
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  dblp key:
  - journals/corr/abs-2201-07677
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  - https://dblp.org/rec/journals/corr/abs-2201-07677
Wiebke Toussaint, Akhil Mathur, Fahim Kawsar, Aaron Yi Ding:
Tiny, always-on and fragile: Bias propagation through design choices in on-device machine learning workflows. CoRR abs/2201.07677 (2022)

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