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FedSSU: flexible and efficient decentralized unlearning for federated learning.

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Title: FedSSU: flexible and efficient decentralized unlearning for federated learning.
Authors: Leng, Yuhe1, Xu, Lei1, leixu@njust.edu.cn, Liu, Jianghua1, jhliu@njust.edu.cn, Zhang, Xiaojun1, Mei, Lin1, Qu, Youyang2, Xu, Chungen1
Source: Journal of Supercomputing; Jun2025, Vol. 81 Issue 8, p1-26, 26p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 185796905
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
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  Data: FedSSU: flexible and efficient decentralized unlearning for federated learning.
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+Supercomputing%22">Journal of Supercomputing</searchLink>; Jun2025, Vol. 81 Issue 8, p1-26, 26p
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      – Type: doi
        Value: 10.1007/s11227-025-07478-2
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        Text: English
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      – TitleFull: FedSSU: flexible and efficient decentralized unlearning for federated learning.
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            – D: 15
              M: 06
              Text: Jun2025
              Type: published
              Y: 2025
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