Domain adaptation of a shared pretrained model can be stored as sparse additive changes, and switching those changes off exactly restores the original semantic communication alignment.
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Zero-Forget Preservation of Semantic Communication Alignment in Distributed AI Networks
Domain adaptation of a shared pretrained model can be stored as sparse additive changes, and switching those changes off exactly restores the original semantic communication alignment.