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eess.SP2026
Privacy-Preserving Federated Radio Map Learning for Wireless Digital Twins via Adaptive Noise Allocation
Jijia Tian, Hao Wang, Mu Jia +3
Radio maps provide a foundational data layer for wireless digital twins, and federated learning offers a natural framework for their distributed construction without centralizing r…
eess.SP2025
Geometry-Aligned Differential Privacy for Location-Safe Federated Radio Map Construction
Jijia Tian, Wangqian Chen, Junting Chen +1
Radio maps that describe spatial variations in wireless signal strength are widely used to optimize networks and support aerial platforms. Their construction requires location-labe…