AIoT-MLSys-Lab / Mercury

[SenSys 2021] "Mercury: Efficient On-Device Distributed DNN Training via Stochastic Importance Sampling" by Xiao Zeng, Ming Yan, Mi Zhang

Mercury

This contains the core implementation of importance sampling algorithm in Mercury.

Citation

If you find this useful for your work, please consider citing:

@InProceedings{mercury2021sensys,
  title = {Mercury: Efficient On-Device Distributed DNN Training via Stochastic Importance Sampling},
  author = {Zeng, Xiao and Yan, Ming and Zhang, Mi},
  booktitle = {ACM Conference on Embedded Networked Sensor Systems (SenSys)},
  year = {2021}
}