FedAvg on non-IID KIIT-MiTA drone imagery recovers most centralized YOLO nano mAP while keeping images local, with YOLO26 nano gaining ~53% and ~68% relative mAP over single-drone baselines.
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Federated Learning for Object Detection: Enabling Collaborative Drone Learning Without Centralizing Data
FedAvg on non-IID KIIT-MiTA drone imagery recovers most centralized YOLO nano mAP while keeping images local, with YOLO26 nano gaining ~53% and ~68% relative mAP over single-drone baselines.