FedSceneX uses a single calibrated price per client to jointly pick participation, precision, and placement, achieving the highest Macro-F1 within a 20-hour budget on nuScenes while keeping all four sensing modalities.
Combining Fed- erated Learning and Edge Computing Toward Ubiquitous Intelligence in 6G Network: Challenges, Recent Advances, and Future Directions,
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FedSceneX: Time-to-Target Orchestration for Same-Scene Multimodal Federated Edge Learning
FedSceneX uses a single calibrated price per client to jointly pick participation, precision, and placement, achieving the highest Macro-F1 within a 20-hour budget on nuScenes while keeping all four sensing modalities.