A scalable, Fully Homomorphic Encryption (FHE) pipeline that allows for model inference on encrypted data without the need for decryption.
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Updated
Apr 11, 2024 - Jupyter Notebook
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tenseal
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Collaborative Machine Learning approach to train a mode that classifies a person as smoker or non-smoker based on the user data. The distributed approach of training is done with secure model transmissions to central cloud location where Amazon EC2 instance aggregates the new model based on new training received in Homomorphically Encrypted forms
ml
s3-bucket
ec2-instance
homomorphic-encryption
collaborative-learning
federated-learning
distributed-learning
mlops
tenseal
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Updated
Jul 22, 2023 - Jupyter Notebook
Fully Homomorphic Encryption for Private Federated Learning
machine-learning
neural-networks
telematics
homomorphic-encryption
federated-learning
ckks
fully-homomorphic-encryption
automotive-industry
usage-based-insurance
driver-behaviour-classification
tenseal
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Updated
Dec 13, 2023 - Python
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