On the distributed optimization over directed networks

@article{Xi2017OnTD,
  title={On the distributed optimization over directed networks},
  author={Chenguang Xi and Q. Wu and Usman A. Khan},
  journal={Neurocomputing},
  year={2017},
  volume={267},
  pages={508-515}
}
  • Chenguang Xi, Q. Wu, Usman A. Khan
  • Published 2017
  • Mathematics, Computer Science
  • Neurocomputing
  • In this paper, we propose a distributed algorithm, called Directed-Distributed Gradient Descent (D-DGD), to solve multi-agent optimization problems over directed graphs. Existing algorithms mostly deal with similar problems under the assumption of undirected networks, i.e., requiring the weight matrices to be doubly-stochastic. The row-stochasticity of the weight matrix guarantees that all agents reach consensus, while the column-stochasticity ensures that each agent's local gradient… CONTINUE READING
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