Privacy-Preserving Federated Learning Framework Based on Chained Secure Multiparty Computing

Federated learning (FL) is a promising new technology in the field of IoT intelligence. However, exchanging model-related data in FL may leak the sensitive information of participants. To address this problem, we propose a novel privacy-preserving FL framework based on an innovative chained secure m... View More