Heterogeneity-Aware Personalized Federated Learning for Industrial Predictive Analytics

ArXi:2604.19451v1 Announce Type: new Federated prognostics enable clients (e.g., companies, factories, and production lines) to collaboratively develop a failure time prediction model while keeping each client's data local and confidential. However, traditional federated models often assume homogeneity in the degradation processes across clients, an assumption that may not hold in many industrial settings.