Learning-in-the-fog (LiFo): Deep learning meets fog computing for the minimum-energy distributed early-exit of inference in delay-critical IoT realms

E Baccarelli, M Scarpiniti, A Momenzadeh… - IEEE …, 2021 - ieeexplore.ieee.org
Fog Computing (FC) and Conditional Deep Neural Networks (CDDNs) with early exits are
two emerging paradigms which, up to now, are evolving in a standing-alone fashion …
被引用次数：36 相关文章
[PDF] archive.org

[PDF][PDF] Learning-in-the-Fog (LiFo): Deep Learning meets Fog Computing for the Minimum-Energy Distributed Early-Exit of Inference in delay-critical IoT realms

A MOMENZADEH, SS AHRABI - scholar.archive.org
ABSTRACT Fog Computing (FC) and Conditional Deep Neural Networks (CDDNs) with
early exits are two emerging paradigms which, up to now, are evolving in a standing-alone …

Learning-in-the-Fog (LiFo): Deep learning meets Fog Computing for the minimum-energy distributed early-exit of inference in delay-critical IoT realms

E Baccarelli, M Scarpiniti, A Momenzadeh… - IEEE ACCESS, 2021 - iris.uniroma1.it
Abstract Fog Computing (FC) and Conditional Deep Neural Networks (CDDNs) with early
exits are two emerging paradigms which, up to now, are evolving in a standing-Alone …

[引用][C] Learning-in-the-Fog (LiFo): Deep Learning Meets Fog Computing for the Minimum-Energy Distributed Early-Exit of Inference in Delay-Critical IoT Realms

E Baccarelli, M Scarpiniti, A Momenzadeh… - IEEE …, 2021 - ui.adsabs.harvard.edu
Learning-in-the-Fog (LiFo): Deep Learning Meets Fog Computing for the Minimum-Energy
Distributed Early-Exit of Inference in Delay-Critical IoT Realms - NASA/ADS Now on home …
[PDF] uniroma1.it

[PDF][PDF] Learning-in-the-Fog (LiFo): Deep Learning Meets Fog Computing for the Minimum-Energy Distributed Early-Exit of Inference in Delay-Critical IoT Realms

A MOMENZADEH, SS AHRABI - iris.uniroma1.it
ABSTRACT Fog Computing (FC) and Conditional Deep Neural Networks (CDDNs) with
early exits are two emerging paradigms which, up to now, are evolving in a standing-alone …