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A Riemannian gossip approach to subspace learning on Grassmann manifold
Interesting applications in this setting include low-rank matrix completion and low-dimensional multivariate regression, among others.
A Riemannian gossip approach to decentralized matrix completion
In this paper, we propose novel gossip algorithms for the low-rank decentralized matrix completion problem.
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