64 citations · 107 across the 14 of their papers we have counts for
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cs.LG2020
Differentially Private ADMM Algorithms for Machine Learning
Tao Xu, Fanhua Shang, Yuanyuan Liu +3
In this paper, we study efficient differentially private alternating direction methods of multipliers (ADMM) via gradient perturbation for many machine learning problems. For smoot…
cs.LG2020★ 2 cited
Locality Preserving Dense Graph Convolutional Networks with Graph Context-Aware Node Representations
Wenfeng Liu, Maoguo Gong, Zedong Tang +1
Graph convolutional networks (GCNs) have been widely used for representation learning on graph data, which can capture structural patterns on a graph via specifically designed conv…