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20062023
most citedDeep Anomaly Detection for Time-series Data in Industrial IoT: A Communication-Efficient On-device Federated Learning Approach

539 citations · 1.1k across the 28 of their papers we have counts for

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Showing 2020Show all

2 papers · 1 filter

cs.CV2020★ 234 cited

PP-YOLO: An Effective and Efficient Implementation of Object Detector

Xiang Long, Kaipeng Deng, Guanzhong Wang +8

Object detection is one of the most important areas in computer vision, which plays a key role in various practical scenarios. Due to limitation of hardware, it is often necessary…

cs.LG2020★ 539 cited

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

Yi Liu, Sahil Garg, Jiangtian Nie +4

Since edge device failures (i.e., anomalies) seriously affect the production of industrial products in Industrial IoT (IIoT), accurately and timely detecting anomalies is becoming…