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              <text>Patent Number: 202121025112, Applicant: Supriya Prashant Diwan.&#13;
The system in the present invention keeps the private data locally in smartphones, shares trained parameters and builds a global consensus model. The feasibility and usability of the proposed system are evaluated by three experiments and related discussion. The experimental results show that the distributed deep learning system can reconstruct the behavior of centralized training. We also measure the cumulative network traffic in different scenarios and show that the partial parameter sharing strategy does not only preserve the performance of the trained model but also can reduce network traffic.</text>
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              <text>&lt;a href="https://drive.google.com/file/d/1cfWF3Qro27DECykHlQ2LiK3EMpLDaXq-/view" target="_blank" title="A system for regulated distributed deep learning in cloud and smart mobile devices /" rel="noreferrer noopener"&gt;https://drive.google.com/file/d/1cfWF3Qro27DECykHlQ2LiK3EMpLDaXq-/view&lt;/a&gt;</text>
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