Yuki Takezawa, Ryoma Sato, Han Bao 0002, Kenta Niwa, Makoto Yamada. Beyond Exponential Graph: Communication-Efficient Topologies for Decentralized Learning via Finite-time Convergence. In Alice Oh, Tristan Naumann, Amir Globerson, Kate Saenko, Moritz Hardt, Sergey Levine, editors, Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, NeurIPS 2023, New Orleans, LA, USA, December 10 - 16, 2023. 2023. [doi]
@inproceedings{TakezawaS0NY23,
title = {Beyond Exponential Graph: Communication-Efficient Topologies for Decentralized Learning via Finite-time Convergence},
author = {Yuki Takezawa and Ryoma Sato and Han Bao 0002 and Kenta Niwa and Makoto Yamada},
year = {2023},
url = {http://papers.nips.cc/paper_files/paper/2023/hash/f201b3f3d0f08c6ab46c36b9052c1b64-Abstract-Conference.html},
researchr = {https://researchr.org/publication/TakezawaS0NY23},
cites = {0},
citedby = {0},
booktitle = {Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, NeurIPS 2023, New Orleans, LA, USA, December 10 - 16, 2023},
editor = {Alice Oh and Tristan Naumann and Amir Globerson and Kate Saenko and Moritz Hardt and Sergey Levine},
}