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Secure Deep-JSCC Against Multiple Eavesdroppers
Adversarial accuracy of eavesdroppers are also studied over Rayleigh fading, Nakagami-m, and AWGN channels to verify the generalization of the proposed scheme.
A Distinct Unsupervised Reference Model From The Environment Helps Continual Learning
The existing continual learning methods are mainly focused on fully-supervised scenarios and are still not able to take advantage of unlabeled data available in the environment.
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