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Zero-touch network is anticipated to inaugurate the generation of intelligentand highly flexible resource provisioning strategies where multiple serviceproviders collaboratively offer computation and storage resources. Thistransformation presents substantial challenges to network administration andservice providers regarding sustainability and scalability. This articlecombines Distributed Artificial Intelligence (DAI) with Zero-touch Provisioning(ZTP) for edge networks. This combination helps to manage network devicesseamlessly and intelligently by minimizing human intervention. In addition,several advantages are also highlighted that come with incorporatingDistributed AI into ZTP in the context of edge networks. Further, we drawpotential research directions to foster novel studies in this field andovercome the current limitations.

Distributed AI in Zero-touch Provisioning for Edge Networks: Challenges and Research Directions