A federated learning and decision transformer-based multi-source data fusion architecture for real-time industrial scheduling dashboards
With the rapid development of industrial IoT and intelligent scheduling systems, real-time fusion of multi-source heterogeneous data and decision optimization have become critical challenges. Traditional centralized data collection methods face privacy leakage and communication bottlenecks, while federated learning (FL...