Federated Learning Strategies for Enhancing Privacy-Preserving Euclidean Distance Matrix Computation.

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Title: Federated Learning Strategies for Enhancing Privacy-Preserving Euclidean Distance Matrix Computation.
Authors: Shokeen, Vikrant1, shokeen18@gmail.com, Kumar, Sandeep1, san.jaglan@gmail.com, Sharma, Amit2, amit.faculty@gmail.com, Azar, Ahmad Taher3,4, aazar@psu.edu.sa, Almutlaq, Samah3,4, salmutlaq@psu.edu.sa
Source: Engineering, Technology & Applied Science Research; Oct2025, Vol. 15 Issue 5, p27768-27780, 13p
Database: Applied Science & Technology Source
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  Data: Federated Learning Strategies for Enhancing Privacy-Preserving Euclidean Distance Matrix Computation.
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  Data: <searchLink fieldCode="AU" term="%22Shokeen%2C+Vikrant%22">Shokeen, Vikrant</searchLink><relatesTo>1</relatesTo>, <i>shokeen18@gmail.com</i><br /><searchLink fieldCode="AU" term="%22Kumar%2C+Sandeep%22">Kumar, Sandeep</searchLink><relatesTo>1</relatesTo>, <i>san.jaglan@gmail.com</i><br /><searchLink fieldCode="AU" term="%22Sharma%2C+Amit%22">Sharma, Amit</searchLink><relatesTo>2</relatesTo>, <i>amit.faculty@gmail.com</i><br /><searchLink fieldCode="AU" term="%22Azar%2C+Ahmad+Taher%22">Azar, Ahmad Taher</searchLink><relatesTo>3,4</relatesTo>, <i>aazar@psu.edu.sa</i><br /><searchLink fieldCode="AU" term="%22Almutlaq%2C+Samah%22">Almutlaq, Samah</searchLink><relatesTo>3,4</relatesTo>, <i>salmutlaq@psu.edu.sa</i>
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  Data: <searchLink fieldCode="JN" term="%22Engineering%2C+Technology+%26+Applied+Science+Research%22">Engineering, Technology & Applied Science Research</searchLink>; Oct2025, Vol. 15 Issue 5, p27768-27780, 13p
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      – Type: doi
        Value: 10.48084/etasr.10840
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      – Code: eng
        Text: English
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        PageCount: 13
        StartPage: 27768
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      – TitleFull: Federated Learning Strategies for Enhancing Privacy-Preserving Euclidean Distance Matrix Computation.
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            NameFull: Shokeen, Vikrant
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            NameFull: Kumar, Sandeep
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            NameFull: Sharma, Amit
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            NameFull: Azar, Ahmad Taher
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            – D: 01
              M: 10
              Text: Oct2025
              Type: published
              Y: 2025
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              Value: 15
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