Skip to content

tangyuelm/EF-Train

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

15 Commits
 
 
 
 
 
 
 
 

Repository files navigation

EF-Train: Enable Efficient On-device CNN Training on FPGA through Data Reshaping for Online Adaptation or Personalization

This code is implemented on the ZCU102 FPGA board. We use Vivado 2019.1 to generate bitstream of the design and use sdk to run the training process.

Citation:

Tang, Yue, et al. "EF-Train: Enable efficient on-device CNN training on FPGA through data reshaping for online adaptation or personalization." ACM Transactions on Design Automation of Electronic Systems (TODAES) 27.5 (2022): 1-36.

About

No description, website, or topics provided.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages