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March 3, 2026Computers, materials & continua/Computers, materials & continua (Print)0 citationsOpen Access

Distributed Dual-Network Framework for Scalable, Privacy-Aware Multi-Agent Coordination

A Distributed Dual-Network Meta-Adaptive Framework for Scalable and Privacy-Aware Multi-Agent Coordination

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Authors

AGAtef GharbiMAMohamed AyariNANasser Albalawi

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Overview

Observational analysis shows improved scalability and robustness in multi-agent coordination, suggesting enhanced performance under dynamic conditions.

Key Points

  • Faster convergence and higher robustness were seen in the Dual Adaptive Neural Topology approach, which outperformed existing baselines.
  • A key metric demonstrated was an improvement in scalability with the inclusion of a locally differentially private pheromone update mechanism.
  • The method involved a distributed dual-network system that integrated online introspection with adaptive parameter control effectively.
  • These findings highlight the potential of enhanced privacy measures in multi-agent systems, which may enable broader applications.

Cite This Study

Gharbi et al. (2026) studied this question.

synapsesocial.com/papers/69a75cbec6e9836116a25de8https://doi.org/10.32604/cmc.2026.075474
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