Embedded Distributed Inference of Deep Neural Networks: A Systematic Review
FN Peccia, O Bringmann - arXiv preprint arXiv:2405.03360, 2024 - arxiv.org
Embedded distributed inference of Neural Networks has emerged as a promising approach
for deploying machine-learning models on resource-constrained devices in an efficient and …
for deploying machine-learning models on resource-constrained devices in an efficient and …
Towards Securing Edge Intelligence for Inference in Horizontal Collaborative Environments
AA Adeyemo - 2023 - search.proquest.com
With the growing demand for real-time intelligence driven by device-to-device (D2D)
communication, deploying Deep Learning (DL) applications at the network edge becomes …
communication, deploying Deep Learning (DL) applications at the network edge becomes …