Computation Scheduling for Distributed Machine Learning with Straggling Workers

@article{Amiri2019ComputationSF,
  title={Computation Scheduling for Distributed Machine Learning with Straggling Workers},
  author={Mohammad Mohammadi Amiri and Deniz Gunduz},
  journal={Sport Psychologist},
  year={2019},
  pages={1-1}
}
  • M. Amiri, D. Gunduz
  • Published 23 October 2018
  • Computer Science, Mathematics, Psychology
  • Sport Psychologist
We study scheduling of computation tasks across n workers in a large scale distributed learning problem with the help of a master. Computation and communication delays are assumed to be random, and redundant computations are assigned to workers in order to tolerate stragglers. We consider sequential computation of tasks assigned to a worker, while the result of each computation is sent to the master right after its completion. Each computation round, which can model an iteration of the… Expand
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