Unveiling the Wireless Network Limitations in Federated Learning
2021 IEEE International Symposium on Dynamic Spectrum Access Networks (DySPAN)(2021)
摘要
With the advent of 5G and beyond (5GB) communications, decentralized Machine Learning models in various 5GB use cases have become critical. However, wireless network settings are often overlooked in federated learning although they are the crucial factors for edge devices to send their gradient updates. In this paper, the consequences of the background traffic on the performance of the federated l...
更多查看译文
关键词
Federated Learning,Deep Neural Networks,Wireless Networks,ns3-ai
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要