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.

翻译：协同边缘-云端框架已成为移动自动化的主流范式，缓解了单体云智能体固有的延迟与隐私风险。然而，现有方法将管理权集中于云端，同时将设备降级为被动执行者，导致对实时用户界面动态的认知延迟。为解决此问题，我们提出AdecPilot，将管理去中心化原则应用于边缘-云端多智能体框架，通过将高层策略设计与战术落地解耦来重新定义边缘智能体。AdecPilot集成了与用户界面无关的云端设计器（用于生成抽象里程碑）与双模态边缘团队（能够在无云端干预下自主规划战术与自我修正）。此外，AdecPilot采用层级隐式终止协议以确保确定性停止并防止任务完成后的幻觉。大量实验表明，所提方法相较于EcoAgent将任务成功率提升21.7%，同时云令牌消耗降低37.5%，相较于CORE端到端延迟降低88.9%。源代码发布于https://anonymous.4open.science/r/Anonymous_code-B8AB。