Privacy-Preserving Cross-Domain Data Mining Modeling Method Based on Federated Learning
This paper proposes a privacy-preserving modeling method for cross-domain data mining based on federated learning. Building on the FedAvg framework, the method integrates cross-domain data node modeling, heterogeneous feature semantic mapping, distribution-shift-aware aggregation, and dynamic gradient perturbation into...