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Modify the research update mechanism
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_data/citations.yaml

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- id: doi:10.48550/ARXIV.2506.03167
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title: Distributionally Robust Wireless Semantic Communication with Large AI Models
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authors:
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- Long Tan Le
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- Senura Hansaja Wanasekara
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- Zerun Niu
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- Yansong Shi
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- Nguyen H. Tran
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- Phuong Vo
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- Walid Saad
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- Dusit Niyato
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- Zhu Han
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- Choong Seon Hong
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- H. Vincent Poor
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publisher: arXiv
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date: '2024-01-01'
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link: https://doi.org/g9v3k4
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orcid: 0009-0004-1110-737X
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plugin: sources.py
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file: sources.yaml
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type: paper
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description: A distributionally robust approach for wireless semantic communication
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with large AI models that addresses uncertainty in wireless channels and semantic
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information transmission, enhancing reliability in AI-powered communication systems.
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buttons:
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- type: source
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text: ArXiv
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link: https://arxiv.org/abs/2506.03167
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tags:
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- semantic communication
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- large AI models
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- distributionally robust optimization
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- wireless communication
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- uncertainty
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- robustness
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journal: arXiv preprint
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- id: doi:10.1109/atc63255.2024.10908307
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title: Lossy Compression of Multi-Channel EEG and PPG Signals Based on Golomb-Rice
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Coding with Parameter Estimation
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authors:
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- Senura Hansaja Wanasekara
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- Han Huy Dung
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- Ngoc Hung Nguyen
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- Van-Dinh Nguyen
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publisher: 2024 International Conference on Advanced Technologies for Communications
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(ATC)
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date: '2024-10-17'
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link: https://doi.org/g9wbrw
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orcid: 0009-0004-1110-737X
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plugin: orcid.py
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file: orcid.yaml
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- id: arxiv:2006.08848
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title: Personalized Federated Learning with Moreau Envelopes
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authors:
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journal: Mobile Networks and Applications
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plugin: sources.py
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file: sources.yaml
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- id: doi:10.48550/ARXIV.2506.03167
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title: Distributionally Robust Wireless Semantic Communication with Large AI Models
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authors:
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- Long Tan Le
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- Senura Hansaja Wanasekara
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- Zerun Niu
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- Yansong Shi
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- Nguyen H. Tran
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- Phuong Vo
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- Walid Saad
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- Dusit Niyato
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- Zhu Han
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- Choong Seon Hong
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- H. Vincent Poor
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publisher: arXiv
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date: '2024-01-01'
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link: https://doi.org/g9v3k4
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type: paper
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description: A distributionally robust approach for wireless semantic communication
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with large AI models that addresses uncertainty in wireless channels and semantic
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information transmission, enhancing reliability in AI-powered communication systems.
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buttons:
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- type: source
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text: ArXiv
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link: https://arxiv.org/abs/2506.03167
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tags:
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- semantic communication
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- large AI models
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- distributionally robust optimization
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- wireless communication
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- uncertainty
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- robustness
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journal: arXiv preprint
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plugin: sources.py
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file: sources.yaml
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- id: arxiv:2407.07421
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title: Federated PCA on Grassmann Manifold for IoT Anomaly Detection
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authors:

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