Data Scientist Ke Zhang’s Research Explores Homomorphic Encryption for Privacy-Preserving Marketing

A privacy-preserving marketing framework applies homomorphic encryption to perform machine learning on encrypted ...
IEEE

HEFLGuard: Backdoor Detection in Homomorphic Encryption-based Federated Learning

Abstract: Homomorphic encryption-based federated learning (HEFL) strengthens privacy by aggregating encrypted model updates, but it also renders existing backdoor defenses that assume plaintext ...
IEEE

Towards Intelligent and Secure Healthcare: A Survey on the Role of Edge Computing, Federated Learning and Homomorphic Encryption

Abstract: This research explores solely the integration of Homomorphic encryption with Federated Learning and Edge Computing within the healthcare domain. Edge Computing focuses on processing the data ...