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Recovery Guarantees for Distributed-OMP
We study distributed schemes for high-dimensional sparse linear regression, based on orthogonal matching pursuit (OMP).
Distributed Sparse Normal Means Estimation with Sublinear Communication
We assume there are $M$ machines, each holding $d$-dimensional observations of a $K$-sparse vector $\mu$ corrupted by additive Gaussian noise.
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