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Adaptive resource optimization for edge inference with goal-oriented communications

Abstract Goal-oriented communications represent an emerging paradigm for efficient and reliable learning at the wireless edge, where only the information relevant for the specific learning task is transmitted to perform inference and/or training. The aim of this paper is to introduce a novel system...

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Detalles Bibliográficos
Principais autores: Francesco Binucci, Paolo Banelli, Paolo Di Lorenzo, Sergio Barbarossa
Formato: Artigo
Idioma:Inglês
Publicado: SpringerOpen 2022-12-01
Series:EURASIP Journal on Advances in Signal Processing
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Acceso en liña:https://doi.org/10.1186/s13634-022-00958-0
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