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adversarial attack and byzantine fault

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Tolerating Adversarial Attacks and Byzantine Faults in Distributed Machine Learning

#artificialintelligenceSep-12-2021, 10:53:52 GMT

To tolerate the outliers, robust statistics have been proposed. We summarize them in Table I. Yin et al. [36] proposed Median 111In the paper, we define the uppercase Median as a GAR solution and the lowercase median as the middle value. However, a recent paper proved that the Median aggregation rule is still under an order-optimal error rate [15]. Blanchard et al. [5] proposed Krum for selecting a valid vector update.

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