TIOT_code

This repository contains the codes of the paper "On Lightweight Privacy-Preserving Collaborative Learning for Internet of Things by Independent Random Projections". The paper has been accepted on the ACM Transactions on Internet of Things. The codes are based on the Pytorch.

Name		Name	Last commit message	Last commit date
Latest commit History 16 Commits
localDP		localDP
soundmnist		soundmnist
CDF_mixed.py		CDF_mixed.py
CDF_projected.py		CDF_projected.py
CDForiginal.py		CDForiginal.py
Conditionnumber.py		Conditionnumber.py
KLmeasuremean.py		KLmeasuremean.py
KLmeasureofRDP.py		KLmeasureofRDP.py
MNIST_final_jounal_test1.py		MNIST_final_jounal_test1.py
MNIST_final_jounal_test5.py		MNIST_final_jounal_test5.py
README.md		README.md
countconditionalnum.py		countconditionalnum.py
countconditionalnumB.py		countconditionalnumB.py
owndata10.py		owndata10.py
owndata2.py		owndata2.py
sepeeratemodel.py		sepeeratemodel.py

jls2007/TIOT_code

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