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Distributed Matrix Multiplication Using Group Algebra for On-Device Edge Computing
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DOI：10.1109/LSP.2021.3117510.png)
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Abstract
En 中文
Leveraging the idea of group theory, we explore the distributed matrix multiplication problem posed in on-device edge computing. We first revisit how to embed matrix multiplication into group structure and then propose a distributed matrix multiplication scheme using the cyclic group. We identify the condition for the perfect reconstruction with the proposed scheme, and exhibit that the proposed scheme has better error performance than the uncoded scheme in a noisy channel owing to the diversity gain of the proposed scheme.
Keywords:
Edge computing
Algebra
Wireless communication
Noise measurement
Internet of Things
Encoding
AWGN channels
Edge computing
group and representation theory
Internet of Things
wireless communications
Journal
IF:
9.6
Papers:
1.1W
Citations:
1.7W