Administrative Decentralization in Edge-Cloud Multi-Agent for Mobile Automation

TL;DR

AdecPilot introduces decentralized edge-cloud multi-agent framework for mobile automation, enhancing real-time responsiveness and reducing cloud dependency through autonomous tactical planning and hierarchical termination.

Contribution

It applies administrative decentralization to edge-cloud multi-agent systems, enabling autonomous tactical planning and self-correction without cloud intervention.

Findings

Task success rate improved by 21.7%.

Cloud token consumption reduced by 37.5%.

End-to-end latency decreased by 88.9%.

Abstract

Collaborative edge-cloud frameworks have emerged as the main- stream paradigm for mobile automation, mitigating the latency and privacy risks inherent to monolithic cloud agents. However, existing approaches centralize administration in the cloud while relegating the device to passive execution, inducing a cognitive lag regard- ing real-time UI dynamics. To tackle this, we introduce AdecPilot by applying the principle of administrative decentralization to the edge-cloud multi-agent framework, which redefines edge agency by decoupling high-level strategic designing from tactical grounding. AdecPilot integrates a UI-agnostic cloud designer generating ab- stract milestones with a bimodal edge team capable of autonomous tactical planning and self-correction without cloud intervention. Furthermore, AdecPilot employs a Hierarchical Implicit Termi- nation protocol to enforce deterministic stops and prevent post- completion hallucinations. Extensive experiments demonstrate pro- posed approach improves task success rate by 21.7% while reducing cloud token consumption by 37.5% against EcoAgent and decreas- ing end to end latency by 88.9% against CORE. The source code is available at https://anonymous.4open.science/r/Anonymous_code- B8AB.