Wireless edge machine learning: Resource allocation and trade-offs

M Merluzzi, P Di Lorenzo, S Barbarossa - IEEE Access, 2021 - ieeexplore.ieee.org
The aim of this paper is to propose a resource allocation strategy for dynamic training and
inference of machine learning tasks at the edge of the wireless network, with the goal of …
被引用次数：39 相关文章

Wireless Edge Machine Learning: Resource Allocation and Trade-Offs

M MERLUZZI, P DI LORENZO, S BARBAROSSA - openreview.net
The aim of this paper is to propose a resource allocation strategy for dynamic training and
inference of machine learning tasks at the edge of the wireless network, with the goal of …

[引用][C] Wireless Edge Machine Learning: Resource Allocation and Trade-Offs

M Merluzzi, PD Lorenzo, S Barbarossa - IEEE Access, 2021 - ui.adsabs.harvard.edu
Wireless Edge Machine Learning: Resource Allocation and Trade-Offs - NASA/ADS Now on
home page ads icon ads Enable full ADS view NASA/ADS Wireless Edge Machine Learning …

Wireless Edge Machine Learning: Resource Allocation and Trade-Offs

M Merluzzi, P Di Lorenzo, S Barbarossa - IEEE ACCESS, 2021 - iris.uniroma1.it
The aim of this paper is to propose a resource allocation strategy for dynamic training and
inference of machine learning tasks at the edge of the wireless network, with the goal of …
[PDF] researchgate.net

[PDF][PDF] Wireless Edge Machine Learning: Resource Allocation and Trade-Offs

M MERLUZZI, P DI LORENZO, S BARBAROSSA - researchgate.net
The aim of this paper is to propose a resource allocation strategy for dynamic training and
inference of machine learning tasks at the edge of the wireless network, with the goal of …