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This paper proposes a combined approach of active learning and distributed consensus algorithms to reduce the computational demand of distributed multi-agent unmanned aerial systems (UAS).
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This page is a summary of: Consensus-Enabled Active Learning for Multi-Agent Systems in Ground Classification of Wetlands, Journal of Aerospace Information Systems, March 2025, American Institute of Aeronautics and Astronautics (AIAA),
DOI: 10.2514/1.i011337.
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