Sparse Federated Representation Learning for autonomous urban air mobility routing under multi-jurisdictional compliance

Sparse Federated Representation Learning for autonomous urban air mobility routing under multi-jurisdictional compliance It began with a simple, frustrating observation during my work on autonomous drone navigation systems. I was experimenting with a fleet of delivery drones in a simulated urban environment, trying to optimize their routes for efficiency and safety. The models performed beautifully in isolation - each drone learning optimal paths based on its own historical flight data.