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Found 2 papers, 2 papers with code
Towards Efficient and Secure Delivery of Data for Deep Learning with Privacy-Preserving
When using MoLe for VGG-16 network on CIFAR dataset, the computational overhead is only 9% and the data transmission overhead is 5. 12%.
Towards Efficient and Secure Delivery of Data for Training and Inference with Privacy-Preserving
When using MoLe for VGG-16 network on CIFAR dataset, the computational overhead is only 9% and the data transmission overhead is 5. 12%.
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