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arXiv · 1601.04595

Multi-Processor Approximate Message Passing Using Lossy Compression

Puxiao Han·Junan Zhu·Ruixin Niu·Dror Baron
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Abstract

In this paper, a communication-efficient multi-processor compressed sensing framework based on the approximate message passing algorithm is proposed. We perform lossy compression on the data being communicated between processors, resulting in a reduction in communication costs with a minor degradation in recovery quality. In the proposed framework, a new state evolution formulation takes the quantization error into account, and analytically determines the coding rate required in each iteration. Two approaches for allocating the coding rate, an online back-tracking heuristic and an optimal allocation scheme based on dynamic programming, provide significant reductions in communication costs.

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Puxiao Han, Junan Zhu, Ruixin Niu, Dror Baron. 2016-01-18. Multi-Processor Approximate Message Passing Using Lossy Compression. https://arxiv.org/abs/1601.04595

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