A Scalable Asynchronous Distributed Algorithm for Topic Modeling

@inproceedings{Yu2015ASA,
  title={A Scalable Asynchronous Distributed Algorithm for Topic Modeling},
  author={Hsiang-Fu Yu and Cho-Jui Hsieh and Hyokun Yun and S. V. N. Vishwanathan and Inderjit S. Dhillon},
  booktitle={WWW},
  year={2015}
}
Learning meaningful topic models with massive document collections which contain millions of documents and billions of tokens is challenging because of two reasons. First, one needs to deal with a large number of topics (typically on the order of thousands). Second, one needs a scalable and efficient way of distributing the computation across multiple machines. In this paper, we present a novel algorithm F+Nomad LDA which simultaneously tackles both these problems. In order to handle large… CONTINUE READING
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NOMAD: Non-locking

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stOchastic Multi-machine algorithm for Asynchronous and Decentralized matrix completion. Proceedings of the VLDB Endowment, 7(11):975–986 • 2014
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