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On the impact of black-box deployment strategies for edge AI on latency and model performance

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Published in:EMSE
Format: Online Article RSS Article
Published: 2026
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discipline_display Technology & Engineering
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institution FRELIP
journal_source_facet EMSE
publishDate 2026
publishDateSort 2026
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spellingShingle On the impact of black-box deployment strategies for edge AI on latency and model performance
Computer Software-Systems
Technology & Engineering — Computing
Technology & Engineering
sub_discipline_display Technology & Engineering — Computing
sub_discipline_facet Technology & Engineering — Computing
subject_display Computer Software-Systems
Technology & Engineering — Computing
Technology & Engineering
Computer Software-Systems
Technology & Engineering — Computing
Technology & Engineering
subject_facet Computer Software-Systems
Technology & Engineering — Computing
Technology & Engineering
title On the impact of black-box deployment strategies for edge AI on latency and model performance
title_auth On the impact of black-box deployment strategies for edge AI on latency and model performance
title_full On the impact of black-box deployment strategies for edge AI on latency and model performance
title_fullStr On the impact of black-box deployment strategies for edge AI on latency and model performance
title_full_unstemmed On the impact of black-box deployment strategies for edge AI on latency and model performance
title_short On the impact of black-box deployment strategies for edge AI on latency and model performance
title_sort on the impact of black-box deployment strategies for edge ai on latency and model performance
topic Computer Software-Systems
Technology & Engineering — Computing
Technology & Engineering
url https://link.springer.com/article/10.1007/s10664-025-10714-1