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  "access_rights": "",
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  "access_rights": "",
            
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  "author": "Xiao-Tong Yuan",
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  "author": "Xiao-Tong Yuan",
            
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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.2206.05187",
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    "https://doi.org/10.48550/arXiv.2206.05187",
            
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    "https://doi.org/10.48550/arXiv.2102.07078",
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    "https://doi.org/10.48550/arXiv.2102.07078",
            
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    "https://doi.org/10.48550/arXiv.2002.02090",
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    "https://doi.org/10.48550/arXiv.2002.02090",
            
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    "https://doi.org/10.1016/j.neunet.2023.04.035"
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    "https://doi.org/10.1016/j.neunet.2023.04.035"
            
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  ],
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  "defined_in": "https://doi.org/10.48550/arXiv.2108.08768",
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  "defined_in": "https://doi.org/10.48550/arXiv.2108.08768",
            
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  "doi": "10.57702/486bkn9s",
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  "doi": "10.57702/486bkn9s",
            
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  "doi_date_published": null,
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  "doi_date_published": "2024-12-16",
            
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  "domain": "https://service.tib.eu/ldmservice",
            
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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": "Ping Li",
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      "extra_author": "Ping Li",
            
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      "orcid": ""
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      "orcid": ""
            
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    }
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  ],
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  "groups": [
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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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      "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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      "description": "",
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      "description": "",
            
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      "name": "handwritten-letter-recognition",
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      "name": "handwritten-letter-recognition",
            
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      "title": "Handwritten Letter Recognition"
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      "title": "Handwritten Letter Recognition"
            
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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": "Image Classification",
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      "display_name": "Image Classification",
            
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      "image_display_url": "",
            
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      "name": "image-classification",
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      "name": "image-classification",
            
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      "title": "Image Classification"
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      "title": "Image Classification"
            
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    }
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  "landing_page": "https://www.kaggle.com/c/femnist/data",
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  "landing_page": "https://www.kaggle.com/c/femnist/data",
            
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  "license_title": null,
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  "metadata_created": "2024-12-16T20:04:02.610171",
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  "metadata_created": "2024-12-16T20:04:02.610171",
            
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  "metadata_modified": "2024-12-16T20:04:03.000230",
            
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  "name": "femnist-dataset",
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  "name": "femnist-dataset",
            
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  "notes": "Mobile crowdsensing has gained significant attention in 
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  "notes": "Mobile crowdsensing has gained significant attention in 
            
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recent years and has become a critical paradigm for emerging Internet 
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recent years and has become a critical paradigm for emerging Internet 
            
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of Things applications. The sensing devices continuously generate a 
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of Things applications. The sensing devices continuously generate a 
            
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significant quantity of data, which provide tremendous opportunities 
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significant quantity of data, which provide tremendous opportunities 
            
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to develop innovative intelligent applications.",
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to develop innovative intelligent applications.",
            
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    "approval_status": "approved",
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    "approval_status": "approved",
            
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    "created": "2024-11-25T12:11:38.292601",
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      "created": "2024-12-16T18:25:44",
            
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distributions based on DCAT.",
            
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      "format": "JSON",
            
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      "display_name": "FEMNIST",
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  "title": "FEMNIST dataset",
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}