A geometrically convergent method for distributed optimization over time-varying graphs

Angelia Nedich, Alex Olshevsky, Wei Shi. A geometrically convergent method for distributed optimization over time-varying graphs. In 55th IEEE Conference on Decision and Control, CDC 2016, Las Vegas, NV, USA, December 12-14, 2016. pages 1023-1029, IEEE, 2016. [doi]

@inproceedings{NedichOS16,
  title = {A geometrically convergent method for distributed optimization over time-varying graphs},
  author = {Angelia Nedich and Alex Olshevsky and Wei Shi},
  year = {2016},
  doi = {10.1109/CDC.2016.7798402},
  url = {http://dx.doi.org/10.1109/CDC.2016.7798402},
  researchr = {https://researchr.org/publication/NedichOS16},
  cites = {0},
  citedby = {0},
  pages = {1023-1029},
  booktitle = {55th IEEE Conference on Decision and Control, CDC 2016, Las Vegas, NV, USA, December 12-14, 2016},
  publisher = {IEEE},
  isbn = {978-1-5090-1837-6},
}