Energy-Efficient Resource Management for Federated Edge Learning With CPU-GPU Heterogeneous Computing
IEEE Transactions on Wireless Communications(2021)
摘要
Edge machine learning involves the deployment of learning algorithms at the network edge to leverage massive distributed data and computation resources to train artificial intelligence (AI) models. Among others, the framework of federated edge learning (FEEL) is popular for its data-privacy preservation. FEEL coordinates global model training at an edge server and...
更多查看译文
关键词
Heterogeneous networks,Computational modeling,Performance evaluation,Graphics processing units,Resource management,Servers,Training data
AI 理解论文
溯源树
样例
![](https://originalfileserver.aminer.cn/sys/aminer/pubs/mrt_preview.jpeg)
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要