arXiv 2610.17816 · cs.AI · 2026-10-13
Empowering Edge Agents: A Systematic Analysis of Edge-Cloud Collaboration in LLM Agent Execution
Pengcheng Huang, Zhenghao Liu, Shixin Ren, Shi Yu, Sijia Yao, Yukun Yan, Chaojun Xiao, Maosong Sun
Northeastern University
在最新榜 #349 本站收录于 2026-10-26
一句话要点
EC2-Bench 评测长程智能体任务中的端云协同，兼顾任务表现、资源消耗和隐私暴露，用可执行的数字工作区任务实证比较多种端云协作方式。
EC2-Bench evaluates edge-cloud collaboration in long-horizon agent execution, measuring task performance, resource usage and privacy exposure on executable digital-workspace tasks to compare collaboration strategies.
阅读 arXiv 原文 PDF Hugging Face 讨论 代码仓库 项目页
主题与学科
同主题：智能体
- Raven: The Harness of Harnesses for Composable Agentic Intelligence ▲748
- False Frontiers: Diagnosing and Mitigating Co-Cheating in Self-Evolving Search Agents ▲642
- Omni-IO Skills: Harnessing Your Agent Omni-Native ▲485
- BizAgentBench: Unveiling Hidden Challenges in Deploying Long-Horizon Agents for Real-World Business ▲388
- Player-1: Learning to Play from Synthetic Experience ▲347
同主题：评测与数据
- Spectral-Spatial Interpretation 2026-10-15 · ▲753
- StreamEval: Evaluating Interactive Streaming Video Generation Models 2026-10-20 · ▲649
- Has GPT-6-Astra Achieved Embodied Intelligence? 2026-10-15 · ▲421
- RealCompanion: Benchmarking Human Understanding from Reasoning over Longitudinal Real-World Conversations 2026-10-01 · ▲287
- FDE-Gym: The Last Mile of AI Delivery 2026-10-15 · ▲270
数据说明
元数据来自 arXiv API（已核实）；点赞来自 Hugging Face 每日论文；引用来自 Semantic Scholar。最近刷新 2026-10-26。
要点由本站根据摘要自写，不转载摘要原文，请阅读原文。