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- W4308244730 abstract "This paper presents LE3D; a novel data drift detection framework for preserving data integrity and confidentiality. LE3D is a generalisable platform for evaluating novel drift detection mechanisms within the Internet of Things (IoT) sensor deployments. Our framework operates in a distributed manner, preserving data privacy while still being adaptable to new sensors with minimal online reconfiguration. Our framework currently supports multiple drift estimators for time-series IoT data and can easily be extended to accommodate new data types and drift detection mechanisms. This demo will illustrate the functionality of LE3D under a real-world-like scenario." @default.
- W4308244730 created "2022-11-09" @default.
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- W4308244730 date "2022-11-03" @default.
- W4308244730 modified "2023-09-23" @default.
- W4308244730 title "Demo: LE3D: A Privacy-preserving Lightweight Data Drift Detection Framework" @default.
- W4308244730 doi "https://doi.org/10.48550/arxiv.2211.01827" @default.
- W4308244730 hasPublicationYear "2022" @default.
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