Ruijin Wang

A Byzantine-Robust Secure Federated Learning Scheme in Heterogeneous Data

Secure Federated Learning protects user privacy by keeping local gradients within the ciphertext space, thereby preventing direct exposure of raw gradients during aggregation. Paradoxically, this very protection introduces a fundamental vulnerability: the opacity of encrypted gradients blinds the server, rendering hone...