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  "author": "Sai Praneeth Karimireddy",
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  "author": "Sai Praneeth Karimireddy",
            
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  "doi": "10.57702/k2c5jpf2",
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  "doi": "10.57702/k2c5jpf2",
            
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  "extra_authors": [
            
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    {
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    {
            
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      "extra_author": "Satyen Kale",
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      "extra_author": "Satyen Kale",
            
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      "orcid": ""
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    },
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    {
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      "extra_author": "Mehryar Mohri",
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      "extra_author": "Mehryar Mohri",
            
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      "orcid": ""
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      "orcid": ""
            
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    },
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    {
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      "extra_author": "Sashank J. Reddi",
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      "extra_author": "Sashank J. Reddi",
            
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      "orcid": ""
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    },
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    {
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      "extra_author": "Sebastian U. Stich",
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      "extra_author": "Sebastian U. Stich",
            
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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": "Ananda Theertha Suresh",
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      "extra_author": "Ananda Theertha Suresh",
            
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      "orcid": ""
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      "name": "distributed-optimization",
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      "name": "distributed-optimization",
            
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      "title": "Distributed Optimization"
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      "title": "Distributed Optimization"
            
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      "description": "",
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"scaffold--stochastic-controlled-averaging-for-federated-learning",
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  "notes": "Federated learning has emerged as an important paradigm in 
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  "notes": "Federated learning has emerged as an important paradigm in 
            
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modern large-scale machine learning. Unlike in traditional centralized 
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modern large-scale machine learning. Unlike in traditional centralized 
            
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learning where models are trained using large datasets stored in a 
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learning where models are trained using large datasets stored in a 
            
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central server, in federated learning, the training data remains 
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central server, in federated learning, the training data remains 
            
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distributed over a large number of clients, which may be phones, 
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distributed over a large number of clients, which may be phones, 
            
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network sensors, hospitals, or alternative local information 
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network sensors, hospitals, or alternative local information 
            
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sources.",
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sources.",
            
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      "name": "federated learning",
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      "name": "federated learning",
            
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  "title": "Scaffold: Stochastic Controlled Averaging for Federated 
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  "title": "Scaffold: Stochastic Controlled Averaging for Federated 
            
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Learning",
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Learning",
            
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}