Communication-Efficient Topologies for Decentralized Learning with $O(1)$ Consensus Rate

Zhuoqing Song, Weijian Li, Kexin Jin, Lei Shi 0010, Ming Yan 0006, Wotao Yin, Kun Yuan. Communication-Efficient Topologies for Decentralized Learning with $O(1)$ Consensus Rate. In Sanmi Koyejo, S. Mohamed, A. Agarwal, Danielle Belgrave, K. Cho, A. Oh, editors, Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, NeurIPS 2022, New Orleans, LA, USA, November 28 - December 9, 2022. 2022. [doi]

@inproceedings{SongLJ00YY22,
  title = {Communication-Efficient Topologies for Decentralized Learning with $O(1)$ Consensus Rate},
  author = {Zhuoqing Song and Weijian Li and Kexin Jin and Lei Shi 0010 and Ming Yan 0006 and Wotao Yin and Kun Yuan},
  year = {2022},
  url = {http://papers.nips.cc/paper_files/paper/2022/hash/0790ef700dd0072f4940abda9b7d0005-Abstract-Conference.html},
  researchr = {https://researchr.org/publication/SongLJ00YY22},
  cites = {0},
  citedby = {0},
  booktitle = {Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, NeurIPS 2022, New Orleans, LA, USA, November 28 - December 9, 2022},
  editor = {Sanmi Koyejo and S. Mohamed and A. Agarwal and Danielle Belgrave and K. Cho and A. Oh},
  isbn = {9781713871088},
}