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ENHANCING PRIVACY AND ACCURACY IN FEDERATED LEARNING FOR REGRESSION WITH SERVER-SIDE FILTERING TO ADDRESS OUTLIERS.

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Title: ENHANCING PRIVACY AND ACCURACY IN FEDERATED LEARNING FOR REGRESSION WITH SERVER-SIDE FILTERING TO ADDRESS OUTLIERS.
Authors: DEBNATH, ABHIJIT1, abhijit.debnath@uem.edu.inabhjit.dbnath@gmail.com, SEN, UDDALOK2, uddalok.sen@mckv.edu.in, SEAL, UDDALAK3, uddalak.seal@iem.edu.in, SARKAR, ABHOY1, abhoy.sarkar@uem.edu.in
Source: Computer Science; 2026, Vol. 27 Issue 1, p25-42, 18p
Database: Applied Science & Technology Source
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PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=193871132
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        Value: 10.7494/csci.2026.27.1.7029
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      – Code: eng
        Text: English
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      – TitleFull: ENHANCING PRIVACY AND ACCURACY IN FEDERATED LEARNING FOR REGRESSION WITH SERVER-SIDE FILTERING TO ADDRESS OUTLIERS.
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              Text: 2026
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              Y: 2026
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