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GitHub / yvgupta03 / MLOPs_Collaborative_ML_with_Homomorphic_Encryption

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

JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/yvgupta03%2FMLOPs_Collaborative_ML_with_Homomorphic_Encryption

Stars: 0
Forks: 0
Open issues: 0

License: None
Language: Jupyter Notebook
Size: 4.6 MB
Dependencies parsed at: Pending

Created at: almost 2 years ago
Updated at: almost 2 years ago
Pushed at: almost 2 years ago
Last synced at: almost 2 years ago

Topics: collaborative-learning, distributed-learning, ec2-instance, federated-learning, homomorphic-encryption, ml, mlops, s3-bucket, tenseal

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