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arxiv: 1802.10116 · v3 · pith:ZAYTCIKCnew · submitted 2018-02-27 · 💻 cs.DC · stat.ML

Generalized Byzantine-tolerant SGD

classification 💻 cs.DC stat.ML
keywords byzantineaggregationrulesanalysisapproachesarbitrarilyarchitectureattack
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We propose three new robust aggregation rules 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 properties of these aggregation rules. Empirical analysis shows that the proposed techniques outperform current approaches for realistic use cases and Byzantine attack scenarios.

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