Privacy-preserving federated learning based on multi-key homomorphic encryption

Jing Ma, Si-Ahmed Naas, Stephan Sigg, Xixiang Lyu

Abstract: With the advance of machine learning and the Internet of Things (IoT), security and privacy have become critical concerns in mobile services and networks. Transferring data to a central unit violates...