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Secure Quantized Training for Deep Learning
July 18, 2022, 1:54 p.m. |
IACR News www.iacr.org
ePrint Report: Secure Quantized Training for Deep Learning
Marcel Keller, Ke Sun
We implement training of neural networks in secure multi-party computation (MPC) using quantization commonly used in said setting. We are the first to present an MNIST classifier purely trained in MPC that comes within 0.2 percent of the accuracy of the same convolutional neural network trained via plaintext computation. More concretely, we have trained a network with two convolutional and two dense layers to 99.2% accuracy in 3.5 …
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