CoEdge: Exploiting the Edge-Cloud Collaboration for Faster Deep Learning
Recently a great number of ubiquitous Internet-of-Things (IoT) devices have been connecting to the Internet. With the massive amount of IoT data, the cloud-based intelligent applications have sprang up to support accurate monitoring and decision-making. In practice, however, the intrinsic transport...
Main Authors: | Liangyan Hu, Guodong Sun, Yanlong Ren |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2020-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/9096357/ |
Similar Items
-
Edge-Cloud Collaborative Resource Allocation Algorithm Based on Deep Reinforcement Learning
by: YU Bin, LI Xue-hua, PAN Chun-yu, LI Na
Published: (2022-07-01) -
Multi-Agent Deep Reinforcement Learning-Based Partial Task Offloading and Resource Allocation in Edge Computing Environment
by: Hongchang Ke, et al.
Published: (2022-07-01) -
Cloud and Edge Computation Offloading for Latency Limited Services
by: Ivana Kovacevic, et al.
Published: (2021-01-01) -
Deep Learning Approach at the Edge to Detect Iron Ore Type
by: Emerson Klippel, et al.
Published: (2021-12-01) -
Ionospheric Electron Density Model by Electron Density Grid Deep Neural Network (EDG-DNN)
by: Zhou Chen, et al.
Published: (2023-04-01)