Can I read Recovery Guarantees for Distributed-OMP on EtoBox?

Recovery Guarantees for Distributed-OMP by Amiraz, Chen; Krauthgamer, Robert; Nadler, Boaz is a scholarly article available to read on EtoBox.

What is Recovery Guarantees for Distributed-OMP about?

We study distributed schemes for high-dimensional sparse linear regression, based on orthogonal matching pursuit (OMP). Such schemes are particularly suited for settings where a central fusion center is connected to end machines, that have both computation and communication limitations. We prove that under suitable assumptions, distributed-OMP schemes recover the support of the regression vector with communication per machine linear in its sparsity and logarithmic in the dimension. Remarkably, this holds even at low signal-to-noise-ratios, where individual machines are unable to detect the support. Our simulations show that distributed-OMP schemes are competitive with more computationally intensive methods, and in some cases even outperform them.

Author

Amiraz, Chen; Krauthgamer, Robert; Nadler, Boaz

Published

2022

Language

EN