pixelsquirrel/fully-homomorphic-encryption-in-machine-learning
Research on fully homomorphic ecryption for data privacy in cloud machine learning
14
/ 100
Experimental
No License
No Package
No Dependents
Maintenance
10 / 25
Adoption
3 / 25
Maturity
1 / 25
Community
0 / 25
Stars
4
Forks
—
Language
Jupyter Notebook
License
—
Category
Last pushed
Jan 13, 2026
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/pixelsquirrel/fully-homomorphic-encryption-in-machine-learning"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
flwrlabs/flower
Flower: A Friendly Federated AI Framework
75
zama-ai/concrete-ml
Concrete ML: Privacy Preserving ML framework using Fully Homomorphic Encryption (FHE), built on...
67
OpenMined/PySyft
Perform data science on data that remains in someone else's server
67
p2pfl/p2pfl
P2PFL is a decentralized federated learning library that enables federated learning on...
66
secretflow/secretflow
A unified framework for privacy-preserving data analysis and machine learning
65