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Hierarchical Federated Learning for Unsupervised Waveform Classification over Tactical MANETs
Distributed radio frequency sensing in contested tactical environments demands collaborative learning across mobile nodes. In ad-hoc networks, learning must occur without persistent backhaul, ground truth labels, or reliable communication links. Traditional federated learning approaches assume eithe
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