Edge-cloud cooperation for DNN inference via reinforcement learning and supervised learning
Deep Neural Networks (DNNs) have been widely applied in Internet of Things (IoT) systems for various tasks such as image classification and object detection. However, heavyweight DNN models can hardly be deployed on edge devices due to limited computational resources. In this paper, an edge-cloud co...
Saved in:
Main Authors: | Zhang, Tinghao, Li, Zhijun, Chen, Yongrui, Lam, Kwok-Yan, Zhao, Jun |
---|---|
Other Authors: | College of Computing and Data Science |
Format: | Conference or Workshop Item |
Language: | English |
Published: |
2024
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/176951 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Similar Items
-
Reinforced transformer learning for VSI-DDoS detection in edge clouds
by: Bhutto, Adil Bin, et al.
Published: (2023) -
Deep reinforcement learning based scheduling strategy for federated learning in sensor-cloud systems
by: Zhang, Tinghao, et al.
Published: (2023) -
Edge detection from point cloud of worn parts
by: Nguyen, Keith Wei Liang, et al.
Published: (2018) -
Parameterized DNN design for identifying the resource limitations of edge deep learning hardware
by: Aung, Shin Thant
Published: (2024) -
From cloud to fog computing : a review and a conceptual live VM migration framework
by: Osanaiye, Opeyemi, et al.
Published: (2018)