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arXiv Machine Learning By Botao Zhu, Xianbin Wang

Long-Term Behavioral Evaluation for Trusted Collaborator Selection via Bidirectional Mamba

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The paper introduces a bidirectional Mamba-enabled model (BM) for long‑term behavioral evaluation of devices in collaborative tasks. By constructing short‑time‑slot graphs of device interactions and aggregating behavioral features, BM integrates forward and backward temporal dependencies across all intervals. Experiments show that BM outperforms baseline methods, improving the accuracy of selecting trustworthy collaborators to maximize task completion value.

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