Research on the Security Sharing Model of Power Grid Data Based on Federated Learning

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.