Official mirror of Python-FHEz; Python Fully Homomorphic Encryption (FHE) Library for Encrypted Deep Learning as a Service (EDLaaS).

Federated learning with homomorphic encryption enables multiple parties to securely co-train artificial intelligence models in pathology and radiology, reaching state-of-the-art performance with pr…

The official implementation of the DGA-GNN algorithm.

Efficient and Straggler-Resistant Homomorphic Encryption for Heterogeneous Federated Learning

The code for "Deep Contrastive Graph Learning with Clustering-Oriented Guidance" (AAAI24).

Codes about Graph Neural Networks and Federated Learning

Federated learning with Fully Homomorphic Encryption

Flower framework for Federated Learning, with Fully Homomorphic Encryption integrated

Fully Homomorphic Encryption for Private Federated Learning

PyTorch extension to enable training and testing using homomorphic encryption

Demonstrate the Federated Learning with different Homomorphic Encryption techniques on neural network models