A novel decentralized intersection data-sharing and assimilation protocol for multi-agent Gaussian processes exploits posterior discrepancies to improve team-level predictive performance while preserving locality.
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Decentralized Scalar Field Mapping using Gaussian Process
A novel decentralized intersection data-sharing and assimilation protocol for multi-agent Gaussian processes exploits posterior discrepancies to improve team-level predictive performance while preserving locality.