Limited-memory Common-directions Method for Distributed Optimization and its Application on Empirical Risk Minimization

@inproceedings{Lee2017LimitedmemoryCM,
  title={Limited-memory Common-directions Method for Distributed Optimization and its Application on Empirical Risk Minimization},
  author={Ching-Pei Lee and Po-Wei Wang and Weizhu Chen and Chih-Jen Lin},
  booktitle={SDM},
  year={2017}
}
Distributed optimization has become an important research topic for dealing with extremely large volume of data available in the Internet companies nowadays. Additional machines make computation less expensive, but inter-machine communication becomes prominent in the optimization process, and efficient optimization methods should reduce the amount of the communication in order to achieve shorter overall running time. In this work, we utilize the advantages of the recently proposed… CONTINUE READING
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The common directions method for regularized loss minimization

  • P.-W. Wang, C.-P. Lee, C.-J. Lin
  • Technical report, National Taiwan University,
  • 2016
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