Deep anomaly detection for time-series data in industrial IoT: A communication-efficient on-device federated learning approach

Y Liu, S Garg, J Nie, Y Zhang, Z Xiong… - IEEE Internet of …, 2020 - ieeexplore.ieee.org
Since edge device failures (ie, anomalies) seriously affect the production of industrial
products in Industrial IoT (IIoT), accurately and timely detecting anomalies are becoming …
被引用次数：440 相关文章

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

Y Liu, S Garg, J Nie, Y Zhang, Z Xiong, J Kang… - arXiv preprint arXiv …, 2020 - arxiv.org
Since edge device failures (ie, anomalies) seriously affect the production of industrial
products in Industrial IoT (IIoT), accurately and timely detecting anomalies is becoming …

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

Y Liu, S Garg, J Nie, Y Zhang, Z Xiong, J Kang… - arXiv e …, 2020 - ui.adsabs.harvard.edu
Since edge device failures (ie, anomalies) seriously affect the production of industrial
products in Industrial IoT (IIoT), accurately and timely detecting anomalies is becoming …
[PDF] academia.edu

[PDF][PDF] Deep Anomaly Detection for Time-series Data in Industrial IoT: A Communication-Efficient On-device Federated Learning Approach

Y Liu, S Garg, J Nie, Y Zhang, Z Xiong, J Kang… - pulse - academia.edu
Since edge device failures (ie, anomalies) seriously affect the production of industrial
products in Industrial IoT (IIoT), accurately and timely detecting anomalies is becoming …

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

Y Liu, S Garg, J Nie, Y Zhang, Z Xiong, J Kang… - IEEE Internet of Things …, 2021 - cir.nii.ac.jp
Deep Anomaly Detection for Time-Series Data in Industrial IoT: A Communication-Efficient
On-Device Federated Learning Approach | CiNii Research CiNii 国立情報学研究所 学術情報 …

Deep anomaly detection for time-series data in industrial IoT: a communication-efficient on-device federated learning approach

Y Liu, S Garg, J Nie, Y Zhang, Z Xiong… - IEEE Internet of Things …, 2020 - dr.ntu.edu.sg
Since edge device failures (ie, anomalies) seriously affect the production of industrial
products in Industrial IoT (IIoT), accurately and timely detecting anomalies is becoming …