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@@ -3,7 +3,9 @@ license: mit
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  language:
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  - en
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  task_categories:
 
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  - image-classification
 
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  multilinguality:
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  - monolingual
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  ---
@@ -15,8 +17,10 @@ Each sample contains **aligned vision and time-series modalities**, enabling joi
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  ---
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  ## Code
 
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  The research code for the paper **_“FedJam: Multi-Modal Federated Learning Framework for Jamming Detection”_**,
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  which uses this dataset, can be accessed here:
 
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  GitHub repository: https://github.com/panitsasi/fedJam (accepted at IEEE INFOCOM 2026)
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  ---
 
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  language:
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  - en
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  task_categories:
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+ - multimodal-classification
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  - image-classification
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+ - time-series-classification
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  multilinguality:
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  - monolingual
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  ---
 
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  ---
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  ## Code
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+
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  The research code for the paper **_“FedJam: Multi-Modal Federated Learning Framework for Jamming Detection”_**,
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  which uses this dataset, can be accessed here:
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+
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  GitHub repository: https://github.com/panitsasi/fedJam (accepted at IEEE INFOCOM 2026)
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  ---