SOURCE-LINKED INTELLIGENCE
Long-Term Behavioral Evaluation for Trusted Collaborator Selection via Bidirectional Mamba
Effective selection of trustworthy collaborators is crucial to ensuring the successful completion of collaborative tasks, which requires accurate assessments of both long-term device behavior and short-term collaborative dynamics. Consistent device behavior patterns, which are learned from historical collaborations, can be used to predict their reliability in future collaborations. However, accurately assessing device behavior based on historical collaborations remains challenging. First, behavior assessment from limited historical collaborations captures only instantaneous past behavior, fail
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-08-25T23:41:08.000Z
First collected: 2026-09-21T09:42:05.193Z. This is not the publication date.