SparseProp: Efficient Sparse Backpropagation for Faster Training of Neural Networks at the Edge

Mahdi Nikdan, Tommaso Pegolotti, Eugenia Iofinova, Eldar Kurtic, Dan Alistarh. SparseProp: Efficient Sparse Backpropagation for Faster Training of Neural Networks at the Edge. In Andreas Krause 0001, Emma Brunskill, KyungHyun Cho, Barbara Engelhardt, Sivan Sabato, Jonathan Scarlett, editors, International Conference on Machine Learning, ICML 2023, 23-29 July 2023, Honolulu, Hawaii, USA. Volume 202 of Proceedings of Machine Learning Research, pages 26215-26227, PMLR, 2023. [doi]

@inproceedings{NikdanPIKA23,
  title = {SparseProp: Efficient Sparse Backpropagation for Faster Training of Neural Networks at the Edge},
  author = {Mahdi Nikdan and Tommaso Pegolotti and Eugenia Iofinova and Eldar Kurtic and Dan Alistarh},
  year = {2023},
  url = {https://proceedings.mlr.press/v202/nikdan23a.html},
  researchr = {https://researchr.org/publication/NikdanPIKA23},
  cites = {0},
  citedby = {0},
  pages = {26215-26227},
  booktitle = {International Conference on Machine Learning, ICML 2023, 23-29 July 2023, Honolulu, Hawaii, USA},
  editor = {Andreas Krause 0001 and Emma Brunskill and KyungHyun Cho and Barbara Engelhardt and Sivan Sabato and Jonathan Scarlett},
  volume = {202},
  series = {Proceedings of Machine Learning Research},
  publisher = {PMLR},
}