32 citations · 58 across the 6 of their papers we have counts for
Showing cs.LGShow all
3 papers · 1 filter
cs.LG2023
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…
cs.LG2023
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…
cs.LG2022★ 4 cited
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…