Enabling Privacy-Preserving and Publicly Auditable Federated Learning

Huang Zeng, Anjia Yang, Jian Weng +4

Federated learning (FL) has attracted widespread attention because it supports the joint training of models by multiple participants without moving private dataset. However, there…