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  "access_rights": "",
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  "author": "Jiafan He",
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  "author": "Jiafan He",
            
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  "author_email": "",
            
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  "defined_in": "https://doi.org/10.48550/arXiv.2207.03106",
            
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  "doi": "10.57702/36jrq3aa",
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  "doi": "10.57702/36jrq3aa",
            
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  "doi_date_published": null,
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  "doi_date_published": "2024-12-16",
            
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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": "Tianhao Wang",
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      "extra_author": "Tianhao Wang",
            
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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": "Yifei Min",
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      "extra_author": "Yifei Min",
            
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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": "Quanquan Gu",
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      "extra_author": "Quanquan Gu",
            
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      "orcid": ""
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      "orcid": ""
            
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    }
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      "description": "",
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      "description": "",
            
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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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  "name": 
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  "name": 
            
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cient-algorithm-for-asynchronous-federated-contextual-linear-bandits",
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cient-algorithm-for-asynchronous-federated-contextual-linear-bandits",
            
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  "notes": "We study federated contextual linear bandits, where M 
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  "notes": "We study federated contextual linear bandits, where M 
            
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agents cooperate with each other to solve a global contextual linear 
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agents cooperate with each other to solve a global contextual linear 
            
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bandit problem with the help of a central server. We consider the 
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bandit problem with the help of a central server. We consider the 
            
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asynchronous setting, where all agents work independently and the 
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asynchronous setting, where all agents work independently and the 
            
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communication between one agent and the server will not trigger other 
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communication between one agent and the server will not trigger other 
            
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agents\u2019 communication.",
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agents\u2019 communication.",
            
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  "state": "active",
            
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  "tags": [
            
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    {
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    {
            
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      "display_name": "asynchronous",
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      "display_name": "asynchronous",
            
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      "name": "asynchronous",
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      "display_name": "contextual",
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      "display_name": "contextual",
            
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      "id": "40c2802a-ee62-4cde-8f67-b6b26a876941",
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      "id": "40c2802a-ee62-4cde-8f67-b6b26a876941",
            
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      "name": "contextual",
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      "name": "contextual",
            
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      "state": "active",
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      "state": "active",
            
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      "vocabulary_id": null
            
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    },
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    {
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    {
            
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      "display_name": "federated",
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      "display_name": "federated",
            
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      "id": "019246f2-0245-4e37-bc90-d95ba901d420",
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      "id": "019246f2-0245-4e37-bc90-d95ba901d420",
            
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      "name": "federated",
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      "name": "federated",
            
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      "state": "active",
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      "state": "active",
            
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      "vocabulary_id": null
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      "vocabulary_id": null
            
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    },
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    },
            
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    {
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    {
            
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      "display_name": "linear",
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      "display_name": "linear",
            
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      "id": "ae541315-b44d-4a96-9db5-b4e530fd12f1",
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      "id": "ae541315-b44d-4a96-9db5-b4e530fd12f1",
            
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      "name": "linear",
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      "name": "linear",
            
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      "state": "active",
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      "state": "active",
            
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      "vocabulary_id": null
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      "vocabulary_id": null
            
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    }
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    }
            
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  ],
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  ],
            
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  "title": "A Simple and Provably E\ufb03cient Algorithm for 
151
  "title": "A Simple and Provably E\ufb03cient Algorithm for 
            
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Asynchronous Federated Contextual Linear Bandits",
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Asynchronous Federated Contextual Linear Bandits",
            
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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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}