33 citations · 60 across the 5 of their papers we have counts for
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2 papers · 1 filter
cs.LG2020★ 9 cited
SCE: Scalable Network Embedding from Sparsest Cut
Shengzhong Zhang, Zengfeng Huang, Haicang Zhou +1
Large-scale network embedding is to learn a latent representation for each node in an unsupervised manner, which captures inherent properties and structural information of the unde…
cs.LG2020★ 33 cited
Multi-consensus Decentralized Accelerated Gradient Descent
Haishan Ye, Luo Luo, Ziang Zhou +1
This paper considers the decentralized convex optimization problem, which has a wide range of applications in large-scale machine learning, sensor networks, and control theory. We…