GA-AFedOD: gradient-aligned active federated learning for resource-aware object detection in edge industrial IoT
Gradient-Aligned Active Federated Object Detection (GA-AFedOD), a unified framework that jointly optimizes annotation selection, client participation, and model aggregation as a constrained stochastic program, is proposed.