### Abstract

Motivated by applications in machine learning and statistics, we study distributed optimization problems over a network of processors, where the goal is to optimize a global objective composed of a sum of local functions. In these problems, due to the large scale of the data sets, the data and computation must be distributed over multiple processors resulting in the need for distributed algorithms. In this paper, we consider a popular distributed gradient-based consensus algorithm, which only requires local computation and communication. An important problem in this area is to analyze the convergence rate of such algorithms in the presence of communication delays that are inevitable in distributed systems. We prove the convergence of the gradient-based consensus algorithm in the presence of uniform, but possibly arbitrarily large, communication delays between the processors. Moreover, we obtain an upper bound on the rate of convergence of the algorithm as a function of the network size, topology, and the inter-processor communication delays.

Original language | English (US) |
---|---|

Title of host publication | SIGMETRICS 2018 - Abstracts of the 2018 ACM International Conference on Measurement and Modeling of Computer Systems |

Publisher | Association for Computing Machinery, Inc |

Pages | 93-95 |

Number of pages | 3 |

ISBN (Electronic) | 9781450358460 |

DOIs | |

State | Published - Jun 12 2018 |

Event | 2018 ACM International Conference on Measurement and Modeling of Computer Systems, SIGMETRICS 2018 - Irvine, United States Duration: Jun 18 2018 → Jun 22 2018 |

### Publication series

Name | SIGMETRICS 2018 - Abstracts of the 2018 ACM International Conference on Measurement and Modeling of Computer Systems |
---|

### Other

Other | 2018 ACM International Conference on Measurement and Modeling of Computer Systems, SIGMETRICS 2018 |
---|---|

Country | United States |

City | Irvine |

Period | 6/18/18 → 6/22/18 |

### ASJC Scopus subject areas

- Computer Networks and Communications
- Hardware and Architecture
- Computational Theory and Mathematics
- Software

## Fingerprint Dive into the research topics of 'On the convergence rate of distributed gradient methods for finite-sum optimization under communication delays'. Together they form a unique fingerprint.

## Cite this

*SIGMETRICS 2018 - Abstracts of the 2018 ACM International Conference on Measurement and Modeling of Computer Systems*(pp. 93-95). (SIGMETRICS 2018 - Abstracts of the 2018 ACM International Conference on Measurement and Modeling of Computer Systems). Association for Computing Machinery, Inc. https://doi.org/10.1145/3219617.3219654