Simulation secure multi-input quadratic functional encryption: applications to differential privacy

In order to meet the needs of data availability and practicality in the power grid system to achieve data security and efficient sharing, this paper proposes a power grid data security sharing model based on federated learning, and through the differential privacy, secure multi-party computing, homomorphic encryption, function encryption Four security sharing methods are implemented to ensure the security and feasibility of grid data sharing.