Layered trust models for multi-agent LLM systems remain largely conceptual: they name which dimensions of trust matter but not how layers combine, how their importance is set at runtime, or how trust should govern agent actions. This gap matters because higher inter-agent trust raises task success while also enlarging...
Md Mehedi Hasan Nipu, Chinmoy Mitra, Tarannum Ahmed Nowshin et al.· 0 citations
A controlled, safety-oriented evaluation using a multi-task one-dimensional convolutional neural network and a structurally non-IID partition of the Commercial Modular Aero-Propulsion System Simulation benchmark reveals a trade-off between robust update selection and collaborative representation learning.
Chinmoy Mitra, Md Mehedi Hasan Nipu, Mohammad Sakib Mahmood et al.· 0 citations
A four-dimensional Integration Friction Index is introduced that separates one-time engineering cost from recurring organisational, legal, and maintenance cost and shows why scope and budget enforcement cannot be delegated to system prompts.
Israt Moyeen Noumi, Tarannum Ahmed Nowshin, Md Mehedi Hasan Nipu et al.· 0 citations
ChannelGuard, a training-free defense-in-depth framework placing information-bottleneck gates on every inter-agent channel; each scores channel text against an adversarial phrase bank by embedding similarity and deterministically passes, compresses, or blocks it, adding no LLM call, while an attribution method records...
Elias Hossain, Md. Mehedi Hasan Bhuiyan Nipu, Fatema Tuj Johora Faria et al.· arXiv.org· 0 citations
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.
