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Privatized graph federated learning.

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Bibliographic Details
Title: Privatized graph federated learning.
Authors: Rizk, Elsa1, elsa.rizk@epfl.ch, Vlaski, Stefan2, Sayed, Ali H.1
Source: EURASIP Journal on Advances in Signal Processing; 8/25/2023, Vol. 2023 Issue 1, p1-31, 31p
Database: Applied Science & Technology Source
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      – Type: doi
        Value: 10.1186/s13634-023-01049-4
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      – Code: eng
        Text: English
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        PageCount: 31
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      – TitleFull: Privatized graph federated learning.
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            NameFull: Rizk, Elsa
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            NameFull: Vlaski, Stefan
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              Text: 8/25/2023
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              Y: 2023
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