Few-Shot Federated Learning for State-of-Charge Prediction Across Privacy-Isolated Personal Mobile Devices
A module-decomposition-driven SOC prediction model is proposed that separates baseline drain, synchronous state response, and asynchronous multi-scale event memory within one discharge-dynamics formulation and connects module-structured data processing, federated synthesis, few-shot adaptation, and local TTE inference...