作者
Tinghao Zhang, Kwok-Yan Lam, Jun Zhao, Feng Li, Huimei Han, Norziana Jamil
发表日期
2023/1/17
期刊
IEEE/ACM Transactions on Networking
卷号
31
期号
5
页码范围
1981-1996
出版商
IEEE
简介
Machine learning (ML) is a widely accepted means for supporting customized services for mobile devices and applications. Federated Learning (FL), which is a promising approach to implement machine learning while addressing data privacy concerns, typically involves a large number of wireless mobile devices to collect model training data. Under such circumstances, FL is expected to meet stringent training latency requirements in the face of limited resources such as demand for wireless bandwidth, power consumption, and computation constraints of participating devices. Due to practical considerations, FL selects a portion of devices to participate in the model training process at each iteration. Therefore, the tasks of efficient resource management and device selection will have a significant impact on the practical uses of FL. In this paper, we propose a spectrum allocation optimization mechanism for enhancing …
学术搜索中的文章
T Zhang, KY Lam, J Zhao, F Li, H Han, N Jamil - IEEE/ACM Transactions on Networking, 2023