Jun 1, 2024 · Specifically, we present a tentative definition of data quality in Edge computing, which we use to establish a set of DQ dimensions. We explore ...
The paper presents a comprehensive survey on data quality in edge machine learning, emphasizing the growing importance of AI systems and the shift towards ...
Jun 8, 2024 · From these observations, it follows that DQ research for edge ML is a critical and urgent exploration track for the safety and robust usefulness ...
Jun 6, 2024 · Data Quality in Edge Machine Learning: A State-of-the-Art Survey. Data-driven Artificial Intelligence (AI) systems trained using Machine ...
Jun 5, 2024 · The survey aims to provide researchers and practitioners with a comprehensive understanding of the key challenges and state-of-the-art solutions ...
Jun 6, 2024 · Data Quality in Edge Machine Learning: A State-of-the-Art Survey. https://arxiv.org/abs/2406.02600 · 8:44 AM · Jun 6, 2024.
Feeding data into a machine learning (ML) system is among the most effective methods for extracting information and making decisions from IoT devices.
Jun 3, 2024 · This paper presents a comprehensive survey of recent advances in models, architectures, hardware, and design requirements for deploying machine learning on low ...
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This survey studies the research landscape for data collection and data quality primarily for deep learning applications, and believes that the data ...
In this article, we provide a comprehensive survey for emerging edge intelligence applications, lightweight machine learning algorithms, and their support for ...
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