The parameter server is a distributed system scaling to industry size machine learning problems. It provides asynchronous and zero-copy key-value pair communications between worker machines and server machines. It also supports flexiable data consistency model, data filters, and flexiable server machine programming.
NOTE: A new version is available at ps-lite
- Document
- Wiki
- How to build
- Examples
- Linear method, Linear method with Cloud
- Deep neural network, see CXXNET and Minverva