528 citations · 2.5k across the 61 of their papers we have counts for
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cs.LG2024
Communication Efficient ConFederated Learning: An Event-Triggered SAGA Approach
Bin Wang, Jun Fang, Hongbin Li +1
Federated learning (FL) is a machine learning paradigm that targets model training without gathering the local data dispersed over various data sources. Standard FL, which employs…
cs.LG2017★ 65 cited
Fast Low-Rank Bayesian Matrix Completion with Hierarchical Gaussian Prior Models
Linxiao Yang, Jun Fang, Huiping Duan +2
The problem of low rank matrix completion is considered in this paper. To exploit the underlying low-rank structure of the data matrix, we propose a hierarchical Gaussian prior mod…
cs.LG2015★ 2 cited
Sparse Bayesian Dictionary Learning with a Gaussian Hierarchical Model
Linxiao Yang, Jun Fang, Hong Cheng +1
We consider a dictionary learning problem whose objective is to design a dictionary such that the signals admits a sparse or an approximate sparse representation over the learned d…