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https://issues.apache.org/jira/browse/SPARK-4590?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14364803#comment-14364803
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Qiping Li commented on SPARK-4590:
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Hi, [~rezazadeh], thanks for your investigation. It is very helpful to have
parameter server integrated into Spark. How is it going with this issue now?
> Early investigation of parameter server
> ---------------------------------------
>
> Key: SPARK-4590
> URL: https://issues.apache.org/jira/browse/SPARK-4590
> Project: Spark
> Issue Type: Brainstorming
> Components: ML, MLlib
> Reporter: Xiangrui Meng
> Assignee: Reza Zadeh
>
> In the currently implementation of GLM solvers, we save intermediate models
> on the driver node and update it through broadcast and aggregation. Even with
> torrent broadcast and tree aggregation added in 1.1, it is hard to go beyond
> ~10 million features. This JIRA is for investigating the parameter server
> approach, including algorithm, infrastructure, and dependencies.
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