ECC-SNN

Official code for "ECC-SNN: Cost-Effective Edge-Cloud Collaboration for Spiking Neural Networks" (IJCAI'2025)

Overview

How to run

Setup Stage:

python prepare.py -nt=5 -patience=50 -b=64 -ce=30 -ee=200 -cloud=vit -edge=svgg -dataset=cifar100 -T=4 -gpu=0 -distill -pretrain

Running Stage:

• preparing models for each task

  python update.py -nt=5 -cloud=vit -edge=svgg -dataset=cifar100 -T=4 -gpu=2 -pretrain
  

• evaluating performance

  python evaluation.py -nt=5 -cloud=vit -edge=svgg -dataset=cifar100 -T=4 -gpu=2 -pretrain -tag -thr=0.7
  

Cite

Please cite the following paper if you find our work contributes to yours in any way:

@inproceedings{yu2025eccsnn,
  title     = {ECC-SNN: Cost-Effective Edge-Cloud Collaboration for Spiking Neural Networks},
  author    = {Di, Yu and Xin, Du and Linshan, Jiang and Huijing, Zhang and Shuiguang, Deng},
  booktitle = {Proceedings of the Thirty-Fourth International Joint Conference on
               Artificial Intelligence, {IJCAI-25}},
  year      = {2025} 
}