Predicting silver economy demand during population aging transition via federated learning-based multi-platform behavioral data collaboration
The Federated Learning-based Silver Economy Prediction Framework (FL-SEPF), which is a collaborative framework for privacy-preserving prediction in the silver economy, features a four-layer architecture with an adaptive weighted federated aggregation strategy that dynamically computes platform-specific weights based on data volume, data quality, and local validation loss to address Non-IID heterogeneity.