Concepedia

Edge Anomaly Detection

Edge Anomaly Detection is a computational framework within edge artificial intelligence that enables the localized identification of deviant patterns or behaviors in data streams at or near the data source, distinguishing itself from centralized approaches by leveraging real-time processing, reduced latency, and constrained resource adaptability inherent to edge computing environments.

94

Publications

4.3K

Citations

379

Authors

212

Institutions

Publications per year

2017–2026

84

Parents

Publications

94

Deep Anomaly Detection for Time-Series Data in Industrial IoT: A Communication-Efficient On-Device Federated Learning Approach

IEEE Internet of Things Journal · 2020 · 517 citations · Full text

, , +17

AddGraph: Anomaly Detection in Dynamic Graph Using Attention-based Temporal GCN

Li Zheng, Zhenpeng Li, Jian Li et al. · 2019 · 239 citations · Full text

, , +16

Digital Twin-driven online anomaly detection for an automation system based on edge intelligence

Huiyue Huang, Yang Lei, Yuanbin Wang et al. · Journal of Manufacturing Systems · 2021 · 168 citations

, , +16

Edge AI: A Taxonomy, Systematic Review and Future Directions

Sukhpal Singh Gill, Muhammed Golec, Jianmin Hu et al. · Cluster Computing · 2024 · 147 citations

, , +15

LightLog: A lightweight temporal convolutional network for log anomaly detection on the edge

Zumin Wang, Jiyu Tian, Hui Fang et al. · Computer Networks · 2021 · 98 citations · Full text

, , +11

1–5 of 94

Authors

379

  1. CF
    Christos Faloutsos

    Carnegie Mellon University, United States

    3 publications · 174 citations

    3

    h-index

  2. SB
    Siddharth Bhatia

    National University of Singapore, Singapore

    3 publications · 124 citations

    3

    h-index

  3. BH
    Bryan Hooi

    National University of Singapore, Singapore

    3 publications · 124 citations

    3

    h-index

  4. MY
    Minji Yoon

    Carnegie Mellon University, United States

    2 publications · 101 citations

    2

    h-index

  5. PB
    Pete Burnap

    Cardiff University, United Kingdom

    2 publications · 41 citations

    2

    h-index

1–5 of 379

Institutions

212

  1. Chinese Academy of Sciences

    Beijing, China

    4 h-index

    8 publications

    587 citations

  2. National University of Singapore

    Singapore, Singapore

    4 h-index

    7 publications

    273 citations

  3. University of Chinese Academy of Sciences

    Beijing, China

    3 h-index

    9 publications

    174 citations

  4. Tianjin University

    Tianjin, China

    3 h-index

    4 publications

    335 citations

  5. Carnegie Mellon University

    Pittsburgh, United States

    3 h-index

    6 publications

    348 citations

  6. Cardiff University

    Cardiff, United Kingdom

    3 h-index

    5 publications

    139 citations

  7. University of Oxford

    Oxford, United Kingdom

    3 h-index

    10 publications

    278 citations

  8. NTT (Japan)

    Tokyo, Japan

    2 h-index

    6 publications

    282 citations

1–8 of 212

Venues

  1. IEEE Internet of Things Journal

    7 publications · 736 citations

    7

    h-index

  2. IEEE Access

    6 publications · 251 citations

    6

    h-index

  3. Cluster Computing

    2 publications · 175 citations

    2

    h-index

  4. Applied Soft Computing

    2 publications · 151 citations

    2

    h-index

  5. Sensors

    2 publications · 59 citations

    2

    h-index

1–5