Distributed data clustering over networks

作者：

Highlights：

• Clustering on multiple sources of distributed data.

• Non-convex optimization in multi-agent networks with time-varying connectivity;

• Leveraging dynamic consensus for diffuse information in the network.

• Consensus-based Expectation-Maximization applied to Gaussian mixture models.

摘要

•Clustering on multiple sources of distributed data.•Non-convex optimization in multi-agent networks with time-varying connectivity;•Leveraging dynamic consensus for diffuse information in the network.•Consensus-based Expectation-Maximization applied to Gaussian mixture models.

论文关键词：Distributed learning,Clustering,Gaussian mixtures,Expectation maximization,Non-Convex optimization

论文评审过程：Received 22 December 2017, Revised 16 March 2019, Accepted 24 April 2019, Available online 26 April 2019, Version of Record 14 May 2019.

论文官网地址：https://doi.org/10.1016/j.patcog.2019.04.021