most citedTeacher-free Latent Self-distillation and Class-separable Representations for Lightweight IoT Attack Detection

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cs.NI2026

SAIL: Unsupervised Spatial-Angular Interpretable Feature Learning for RF Map Synthesis

Sopan Sarkar, Marwan Krunz

In wireless networks, radio-frequency (RF) maps are critical for tasks such as capacity planning, coverage estimation, and localization. Traditional approaches for obtaining RF map…