Data Poison Detection Schemes for Distributed Machine Learning

Distributed machine learning (DML) can realize massive dataset training when no single node can work out the accurate results within an acceptable time. However, this will inevitably expose more potential targets to attackers compared with the non-distributed environment. In this paper, we classify...

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Κύριοι συγγραφείς:	Yijin Chen, Yuming Mao, Haoyang Liang, Shui Yu, Yunkai Wei, Supeng Leng
Μορφή:	Artigo
Γλώσσα:	Inglês
Έκδοση:	IEEE 2020-01-01
Σειρά:	IEEE Access
Θέματα:	Distributed machine learning data poison detection resource allocation
Διαθέσιμο Online:	https://ieeexplore.ieee.org/document/8943404/
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