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Model compression has emerged as an important area of research for deploying deep learning models on Internet-of-Things (IoT). However, for extremely memory-constrained scenarios, even the compressed models cannot fit within the memory of a single de
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https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ab68b760820b147b36fe0c756879ba1b