软件部署
边缘设备
计算机科学
灵活性(工程)
GSM演进的增强数据速率
边缘计算
人工神经网络
服务器
分布式计算
带宽(计算)
互联网
计算机网络
人工智能
操作系统
统计
云计算
数学
作者
Jianshan Wang,Yi Wang,Wange Lou,Wenxia Wei,Jiaxian Lv
出处
期刊:Advances in transdisciplinary engineering
日期:2022-12-15
摘要
As the expansion of edge devices, such as local edge servers or even IoT (Internet of Things) devices, edge computing reforms data processing flow, engendering improvement in faster insights, improved response times and better bandwidth availability. However, industry encounters computational resource constraints of machine learning on edge devices, e.g., limitation of memory and processing power. To tackle this situation, we attempt to enhance flexibility of neural network models for variable hardware constraints. In this paper, we propose a paradigm of neural network combination implementation as a primitive solution; further more, we manage to build up a general neural network deployment framework for edge devices.
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