Data Heterogeneity in Linear Distributed Estimation and Learning

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The theory underlying robust distributed learning algorithms, designed to resist adversarial machines, matches empirical observations when data is homogeneous. Under data heterogeneity however, which is the norm in practical scenarios, established lower bo ...

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Data Heterogeneity in Linear Distributed Estimation and Learning

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