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Bibliographic Details
Main Authors: Zhong, Tianyi, Angeli, David
Format: Preprint
Published: 2025
Subjects:
Online Access:https://arxiv.org/abs/2507.20250
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Table of Contents:
  • Enhancing resilience in multi-agent systems in the face of selfish agents is an important problem that requires further characterisation. This work develops a truthful mechanism that avoids self-interested and strategic agents maliciously manipulating the algorithm. We prove theoretically that the proposed mechanism incentivises self-interested agents to participate and follow the provided algorithm faithfully. Additionally, the mechanism is compatible with any distributed optimisation algorithm that can calculate at least one subgradient at a given point. Finally, we present an illustrative example that shows the effectiveness of the mechanism.