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Joint Interference Detection and Identification via Adversarial Multi-task Learning

Xu, H. et al.
arXiv (All) · Papers
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artificial-intelligencecryptography-and-securityinformation-theorymachine-learning
Precise interference detection and identification are crucial for enhancing the survivability of communication systems in non-cooperative wireless environments. While deep learning (DL) has advanced this field, existing single-task learning (STL) approaches neglect inherent task correlations. Furthe
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