7 citations · 19 across the 7 of their papers we have counts for
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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★ 7 cited
Accelerating Asynchronous Federated Learning Convergence via Opportunistic Mobile Relaying
Jieming Bian, Jie Xu
This paper presents a study on asynchronous Federated Learning (FL) in a mobile network setting. The majority of FL algorithms assume that communication between clients and the ser…
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…