Out-of-Distribution in Image Semantic Communication: A Solution With Multimodal Large Language Models
Semantic communication is a promising technology for next-generation wireless networks. However, the out-of-distribution (OOD) problem, where a pre-trained machine learning (ML) model is applied to unseen tasks that are outside the distribution of its training data, may compromise the integrity of s...
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| Main Authors: | Feifan Zhang, Yuyang Du, Kexin Chen, Yulin Shao, Soung Chang Liew |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
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| Series: | IEEE Transactions on Machine Learning in Communications and Networking |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/11113346/ |
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