32 citations · 58 across the 6 of their papers we have counts for
6 papers
Online Vertical Federated Learning for Cooperative Spectrum Sensing
Heqiang Wang, Jie Xu
The increasing demand for wireless communication underscores the need to optimize radio frequency spectrum utilization. An effective strategy for leveraging underutilized licensed…
On the Local Cache Update Rules in Streaming Federated Learning
Heqiang Wang, Jieming Bian, Jie Xu
In this study, we address the emerging field of Streaming Federated Learning (SFL) and propose local cache update rules to manage dynamic data distributions and limited cache capac…
Combating Client Dropout in Federated Learning via Friend Model Substitution
Heqiang Wang, Jie Xu
Federated learning (FL) is a new distributed machine learning framework known for its benefits on data privacy and communication efficiency. Since full client participation in many…
Recent Advances in Rate Control: From Optimisation to Implementation and Beyond
Xuekai Wei, Mingliang Zhou, Heqiang Wang +3
Video coding is a video compression technique that compresses the original video sequence to produce a smaller archive file or reduce the transmission bandwidth under constraints o…
Bandwidth Allocation for Multiple Federated Learning Services in Wireless Edge Networks
Jie Xu, Heqiang Wang, Lixing Chen
This paper studies a federated learning (FL) system, where \textit{multiple} FL services co-exist in a wireless network and share common wireless resources. It fills the void of wi…
Client Selection and Bandwidth Allocation in Wireless Federated Learning Networks: A Long-Term Perspective
Jie Xu, Heqiang Wang
This paper studies federated learning (FL) in a classic wireless network, where learning clients share a common wireless link to a coordinating server to perform federated model tr…