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Distributed Bayesian Matrix Decomposition

Introduction

This code is for "Distributed Bayesian Matrix Decomposition for Big Data Mining and Clustering".

Illustration of updating W. AGD optimizes W on the central processor. ADMM and CEASE update $\boldsymbol{W}_c$ on the node machines and aggregate them on the central processor. The steps at each round of iteration are numbered sequentially.

Citation

@ARTICLE{Zhang2020,
  author={C. {Zhang} and Y. {Yang} and W. {Zhou} and S. {Zhang}},
  journal={IEEE Transactions on Knowledge and Data Engineering}, 
  title={Distributed Bayesian Matrix Decomposition for Big Data Mining and Clustering}, 
  year={2020},
  volume={},
  number={},
  pages={1-1},
  doi={10.1109/TKDE.2020.3029582}}