Self-aware collaborative edge inference with embedded devices for IIoT
Edge inference and other compute-intensive industrial Internet of Things (IIoT) applications
suffer from a bad quality of experience due to the limited and heterogeneous computing and …
suffer from a bad quality of experience due to the limited and heterogeneous computing and …
Joint Task Offloading, DNN Pruning, and Computing Resource Allocation for Fault Detection With Dynamic Constraints in Industrial IoT
V Niazmand, Q Ye - IEEE Transactions on Cognitive …, 2025 - ieeexplore.ieee.org
In this paper, we investigate a joint task offloading, deep neural network (DNN) model
pruning, and edge computing resource allocation (JOPA) problem for supporting a fault …
pruning, and edge computing resource allocation (JOPA) problem for supporting a fault …
On-Device Split Inference for Edge Devices
B Kozan - 2024 - repository.tudelft.nl
Nowadays, the popularity of machine learning and artificial intelligence algorithms is very
high. A new research direction has emerged where the machine learning algorithms are …
high. A new research direction has emerged where the machine learning algorithms are …