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• W1966994575 abstract "In this paper, we study the impact of low-rank interference on the problem of optimizing a sum of convex objective functions corresponding to multiple agents. We prove that the impact of interference can mathematically be regarded as additional constraints to original unconstrained optimization. The proposed analysis uses the notion of interference alignment where the agent transmissions are aligned in either the null space or range space of interference. We consider two cases: (i) when the interference is uniquely determined by the transmitter; and, (ii) when the interference is only determined by the receiver. The former requires the null space of the interference while the latter requires the range space. Experiments on distributed source localization demonstrate good performance of our interference cancellation strategy." @default.
• W1966994575 created "2016-06-24" @default.
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• W1966994575 creator A5089140869 @default.
• W1966994575 date "2014-11-01" @default.
• W1966994575 modified "2023-10-04" @default.
• W1966994575 title "On the impact of low-rank interference on distributed multi-agent optimization" @default.
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• W1966994575 doi "https://doi.org/10.1109/acssc.2014.7094715" @default.
• W1966994575 hasPublicationYear "2014" @default.
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