Distributed Radar Point Cloud Processing: Cooperative and Federated Approaches for Enhanced Sensing and Tracking

The paper proposes a federated radar network model that enables distributed point cloud processing and scene reconstruction without exchanging raw sensor data. The federated approach outperforms classical cooperation in terms of communication overhead while maintaining comparable accuracy for multi-target tracking.