Efficient and Privacy-Preserving Federated Learning based on Full Homomorphic Encryption

arXiv:2403.11519v1 Announce Type: new
Abstract: Since the first theoretically feasible full homomorphic encryption (FHE) scheme was proposed in 2009, great progress has been achieved. These improvements have made FHE schemes come off the paper and become quite useful in solving some practical problems. In this paper, we propose a set of novel Federated Learning Schemes by utilizing the latest homomorphic encryption technologies, so as to improve the security, functionality and practicality at the same time. Comparisons have been given in …

arxiv cs.cr encryption federated federated learning fhe great homomorphic encryption privacy problems progress