DAve-QN: A Distributed Averaged Quasi-Newton Method with Local Superlinear Convergence Rate. Soori, S., Mishchenko, K., Mokhtari, A., Dehnavi, M. M., & G"urb"uzbalaban, M. In Chiappa, S. & Calandra, R., editors, The 23rd International Conference on Artificial Intelligence and Statistics, AISTATS 2020, 26-28 August 2020, Online [Palermo, Sicily, Italy], volume 108, of Proceedings of Machine Learning Research, pages 1965–1976, 2020. PMLR.
DAve-QN: A Distributed Averaged Quasi-Newton Method with Local Superlinear Convergence Rate [link]Paper  bibtex   
@inproceedings{DBLP:conf/aistats/SooriMMDG20,
  author       = {Saeed Soori and
                  Konstantin Mishchenko and
                  Aryan Mokhtari and
                  Maryam Mehri Dehnavi and
                  Mert G{\"{u}}rb{\"{u}}zbalaban},
  editor       = {Silvia Chiappa and
                  Roberto Calandra},
  title        = {DAve-QN: {A} Distributed Averaged Quasi-Newton Method with Local Superlinear
                  Convergence Rate},
  booktitle    = {The 23rd International Conference on Artificial Intelligence and Statistics,
                  {AISTATS} 2020, 26-28 August 2020, Online [Palermo, Sicily, Italy]},
  series       = {Proceedings of Machine Learning Research},
  volume       = {108},
  pages        = {1965--1976},
  publisher    = {{PMLR}},
  year         = {2020},
  url          = {http://proceedings.mlr.press/v108/soori20a.html},
  timestamp    = {Mon, 29 Jun 2020 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/conf/aistats/SooriMMDG20.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}

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