会议信息

SEC' 2026: ACM/IEEE Symposium on Edge Computing

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截稿日期:
2026-04-24 已截稿
通知日期:
2026-07-29
会议日期:
2026-10-13
会议地点:
Santa Clara, California, USA
届数:
11
CCF: C   浏览: 37830   关注: 12   参加: 4
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会伴指数 (CP-I)

55.9 / 100
全站第 805 名 / 共 5,696 个会议 · 前 15%

系统与体系结构 第 115 / 340

学术认可 (35%)
66
投稿选择性 (20%) 无数据 —— 按中性基准 50 分计入 —
会议传承 (20%)
67
社区关注 (10%)
42
资料公开度 (15%)
35

用到的输入: 收录等级：CCF C · 有据可查的届次：11 · 在会伴关注它的研究者：12 人 · 过去 24 个月打开过本页的研究者：9 人

公开资料里还缺: 历年录用率 (+4.5) · 历届信息 (+3.0) · 最佳论文记录 (+2.3)
主办方认领本会议后，可直接在这一页补上；分数每晚重算。如何提升这个分数

置信度 80% —— 分数中有多大比例来自实际观测到的数据，而不是中性基准。 这个分数是怎么算出来的 · 查看完整榜单 · 算法版本 1.1 · 算于 2026-10-14

征稿

SEC' 2026 (ACM/IEEE Symposium on Edge Computing) is a CCF C conference held in Santa Clara, California, USA on 2026-10-13. The paper submission deadline is 2026-04-24. Acceptance notifications are sent on 2026-07-29.

SEC takes a broad view of edge computing and solicits contributions from many fields of systems practice that embrace any aspect of edge computing. Topics include, but are not limited to: Decentralized communication infrastructure (e.g., cellular, satellite, LoRa) for edge computing Distributed ledger technology (DLT) & blockchain at the edge Socio-economic aspects of edge computing Smart edge computing as an enabler of 6G and B5G applications and services Edge computing infrastructure (e.g., IoT hubs) and its sustainability Emerging applications at the edge, such as the automotive, smart energy, manufacturing, and smart health The role of edge computing in sustainable computing Interfaces between edge, cloud, and HPC systems Geo-distributed analytics and indexing on edge nodes Hardware architectures for edge computing and devices Monitoring, measurements, management, and diagnosis in edge computing Edge/cloud collaborations and networking AI-driven self-evolving software at the edge Resource management, scalability, and reliability for edge computing Security and privacy issues Explainable and trustworthy AI at the edge Storage and data management technologies for edge computing Techniques and algorithms for machine learning, federated learning, and AI at the edge Edge AI technologies (e.g., copilots, language models, and foundation models) in developing, optimizing, and generalizing edge systems and their configurations Agentic AI orchestration at the edge Submissions that include systems implementation and their performance evaluation are particularly encouraged. The review process will be double-blind. Papers will be judged on novelty, significance, clarity, relevance, and correctness. A best paper award will be presented to one or more outstanding papers from the conference. We also welcome short Position Papers on any of the above topics, which will be judged separately from papers in the research track of the conference. By submitting a paper, you agree that at least one of the authors will attend the conference to present it. Papers must be in PDF format and must be submitted through the conference webpage. No email submissions will be accepted.
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