A responsibility-weighted Bayesian estimator plus a discriminant-aware AirComp power allocation improves classification accuracy in distributed sensing-edge AI at low SNR.
Wireless sens- ing with deep spectrogram network and primitive based autoregressive hybrid channel model
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Distributed Integrated Sensing and Edge AI Exploiting Prior Information
A responsibility-weighted Bayesian estimator plus a discriminant-aware AirComp power allocation improves classification accuracy in distributed sensing-edge AI at low SNR.