2021 IEEE 19th International Conference on Industrial Informatics (INDIN) 2021
DOI: 10.1109/indin45523.2021.9557533
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Data Acquisition, Filtering and Buffering Protocol Design for Edge Computing Nodes

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Cited by 5 publications
(1 citation statement)
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“…It is a type of selectivity/filtering method that tries to detect data that may negatively affect the statistics of the dataset and the training of machine learning models. In [48], the authors present a communication standard designed to support generic data acquisition, filtering and buffering protocols between Cloud and EC infrastructures. In [49], the authors discuss a method adopted at the EC ecosystem being responsible to utilize existing ML models to classify a suspicious file in a set of pre-defined categories.…”
Section: Related Workmentioning
confidence: 99%
“…It is a type of selectivity/filtering method that tries to detect data that may negatively affect the statistics of the dataset and the training of machine learning models. In [48], the authors present a communication standard designed to support generic data acquisition, filtering and buffering protocols between Cloud and EC infrastructures. In [49], the authors discuss a method adopted at the EC ecosystem being responsible to utilize existing ML models to classify a suspicious file in a set of pre-defined categories.…”
Section: Related Workmentioning
confidence: 99%