ranran0523 / SPECNN

code repo for paper accepted in ICML 2023
MIT License
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How to understand sub block pruning #4

Open Sinking-Stone opened 5 months ago

Sinking-Stone commented 5 months ago

Hello, I have been reading your paper "SpENCNN: Orchestrating Encoding and Sparsity for Fast Homomorphically Encrypted Neural Network Inference". But I am not very familiar with sub block pruning. What do the k1, k5, and k9 in the following figure represent. Why can reducing one sub block reduce 6 rotations. Why did (b) in the figure not calculate the areas that were not cropped. 图片