IEEE

Advancing Privacy and Accuracy With Federated Learning and Homomorphic Encryption

Abstract: This paper presents a novel theoretical framework integrating federated learning (FL) with homomorphic encryption (HE) through the Cheon-Kim-Kim-Song (CKKS) algorithm to address fundamental ...
IEEE

A Critical Look into Threshold Homomorphic Encryption for Private Average Aggregation

Abstract: Threshold Homomorphic Encryption (Threshold HE) is a good fit for implementing private federated average aggregation, a key operation in Federated Learning (FL). Despite its potential, ...