Real-time Distributed AI/ML Model Training for Predictive Maintenance

Leverage FlightEdge for orchestrating decentralized Probabilistic Time Series Forecasting machine learning (ML) tasks across remote devices using Federated Learning principles. Each edge device trains the ML model on local data, and only the updated model parameters (not raw data) are shared across nodes, minimizing data exposure risks and regulatory concerns.