Proposes budget-constrained adaptive noise allocation for privacy-preserving federated radio map learning with RadioUNet, claiming better privacy and reconstruction quality than uniform or static baselines under matched budgets.
Physics-aware tensor recon- struction for radio maps in pixel-based fluid antenna systems,
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Privacy-Preserving Federated Radio Map Learning for Wireless Digital Twins via Adaptive Noise Allocation
Proposes budget-constrained adaptive noise allocation for privacy-preserving federated radio map learning with RadioUNet, claiming better privacy and reconstruction quality than uniform or static baselines under matched budgets.