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  "access_rights": "",
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  "access_rights": "",
            
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  "author": "Shlomo E. Chazan",
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  "author": "Shlomo E. Chazan",
            
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  "author_email": "",
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  "author_email": "",
            
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  "citation": [
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  "citation": [
            
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    "https://doi.org/10.48550/arXiv.1606.04838",
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    "https://doi.org/10.48550/arXiv.1606.04838",
            
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    "https://doi.org/10.48550/arXiv.1812.06535"
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    "https://doi.org/10.48550/arXiv.1812.06535"
            
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  ],
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  "defined_in": "https://doi.org/10.48550/arXiv.2101.00052",
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  "defined_in": "https://doi.org/10.48550/arXiv.2101.00052",
            
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  "doi": "10.57702/jffbfebe",
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  "doi": "10.57702/jffbfebe",
            
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  "doi_date_published": null,
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  "doi_date_published": "2024-12-03",
            
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  "extra_authors": [
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  "extra_authors": [
            
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    {
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    {
            
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      "extra_author": "Sharon Gannot",
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      "extra_author": "Sharon Gannot",
            
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      "orcid": ""
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      "orcid": ""
            
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    },
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    },
            
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    {
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    {
            
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      "extra_author": "Jacob Goldberger",
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      "extra_author": "Jacob Goldberger",
            
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      "orcid": ""
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      "orcid": ""
            
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    }
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    {
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    {
            
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      "description": "",
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      "description": "",
            
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      "display_name": "Federated Learning",
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      "display_name": "Federated Learning",
            
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      "name": "federated-learning",
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      "name": "federated-learning",
            
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      "title": "Federated Learning"
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      "title": "Federated Learning"
            
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    },
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    },
            
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    {
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    {
            
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      "description": "",
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      "description": "",
            
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      "display_name": "Text Classification",
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      "display_name": "Text Classification",
            
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      "name": "text-classification",
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      "name": "text-classification",
            
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      "title": "Text Classification"
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      "title": "Text Classification"
            
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    }
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    }
            
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  ],
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  "landing_page": "https://www.cs.cornell.edu/~cst2118/RCV1/",
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  "landing_page": "https://www.cs.cornell.edu/~cst2118/RCV1/",
            
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  "license_title": null,
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  "metadata_modified": "2024-12-03T09:53:56.806906",
            
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  "name": "rcv1-dataset",
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  "name": "rcv1-dataset",
            
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  "notes": "The RCV1 dataset is used for predicting categories of 
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  "notes": "The RCV1 dataset is used for predicting categories of 
            
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newswire stories recently collected by Reuters. Ltd. The RCV1 can be 
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newswire stories recently collected by Reuters. Ltd. The RCV1 can be 
            
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naturally partitioned based on news category and used for federated 
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naturally partitioned based on news category and used for federated 
            
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learning experiments, since readers may only be interested in one or 
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learning experiments, since readers may only be interested in one or 
            
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two categories of news and the model training process will mimic the 
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two categories of news and the model training process will mimic the 
            
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personalized privacy-preserving news recommender system, for which 
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personalized privacy-preserving news recommender system, for which 
            
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reader history is located on a user\u2019s personal devices.",
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reader history is located on a user\u2019s personal devices.",
            
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    "approval_status": "approved",
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    "approval_status": "approved",
            
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      "name": "news categorization",
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      "name": "text classification",
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      "name": "text classification",
            
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    }
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    }
            
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  ],
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  ],
            
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  "title": "RCV1 dataset",
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  "title": "RCV1 dataset",
            
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  "type": "dataset",
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  "type": "dataset",
            
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  "version": ""
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  "version": ""
            
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}
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}