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arxiv: 1805.09682 · v1 · pith:I2XQ3PVKnew · submitted 2018-05-23 · 💻 cs.DC · stat.ML

Phocas: dimensional Byzantine-resilient stochastic gradient descent

classification 💻 cs.DC stat.ML
keywords byzantineaggregationdescentgradientproposedstochasticanalysisapproaches
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We propose a novel robust aggregation rule for distributed synchronous Stochastic Gradient Descent~(SGD) under a general Byzantine failure model. The attackers can arbitrarily manipulate the data transferred between the servers and the workers in the parameter server~(PS) architecture. We prove the Byzantine resilience of the proposed aggregation rules. Empirical analysis shows that the proposed techniques outperform current approaches for realistic use cases and Byzantine attack scenarios.

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