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Performance Bounds for Sensor Data Gathering by Coding in Finite Fields

Publications associées (69)

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Whether it be for environmental sensing or Internet of Things (IoT) applications, sensor networks are of growing use thanks to their large-scale sensing and distributed data storage abilities. However, when used in hazardous conditions and thus undergoing ...

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A logconcave likelihood is as important to proper statistical inference as a convex cost function is important to variational optimization. Quantization is often disregarded when writing likelihood models, ignoring the limitations of the physical detectors ...

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Auditory perception is an essential part of a robotic system in Human-Robot Interaction (HRI), and creating an artificial auditory perception system that is on par with human has been a long-standing goal for researchers. In fact, this is a challenging res ...

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Exponential Collapse Of Social Beliefs Over Weakly-Connected Heterogeneous Networks

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We consider a distributed social learning problem where a network of agents is interested in selecting one among a finite number of hypotheses. The data collected by the agents might be heterogeneous, meaning that different sub-networks might observe data ...

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