articleIEEE Communications Surveys & TutorialsJan 1, 2026GREEN OA

Edge-Cloud Collaborative Computing on Distributed Intelligence and Model Optimization: A Survey

JLJing LiuYDYao DuKYKun YangJWJiaqi WuYWYan Wang

Duke Kunshan University · University of British Columbia · +6 more institutions

Indexed inarxivcrossrefdatacite

Abstract

Edge-cloud collaborative computing (ECCC) has emerged as a pivotal paradigm for addressing the computational demands of modern intelligent applications, integrating cloud resources with edge devices to enable efficient, low-latency processing across distributed communication networks. Recent advancements in AI, particularly deep learning and large language models (LLMs), have dramatically enhanced the capabilities of these networked systems, yet introduce significant challenges in model deployment, network resource management, and cross-layer optimization. In this survey, we comprehensively examine the intersection of distributed intelligence and model optimization within edge-cloud environments, providing a…

Citation impact

11
total citations
FWCI
228.26
Percentile
100%
References
256
Citations per year

Authors

11

Topics & keywords

Topics
Keywords
  • Benchmarking
  • Cloud computing
  • Software deployment
  • Edge computing
  • Resource (disambiguation)
  • Information privacy
  • Big data
  • Bridging (networking)
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