539 citations · 802 across the 21 of their papers we have counts for
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cs.LG2023★ 2 cited
From Generative AI to Generative Internet of Things: Fundamentals, Framework, and Outlooks
Jinbo Wen, Jiangtian Nie, Jiawen Kang +4
Generative Artificial Intelligence (GAI) possesses the capabilities of generating realistic data and facilitating advanced decision-making. By integrating GAI into modern Internet…
cs.LG2021★ 2 cited
Semi-Supervised Federated Learning with non-IID Data: Algorithm and System Design
Zhe Zhang, Shiyao Ma, Jiangtian Nie +4
Federated Learning (FL) allows edge devices (or clients) to keep data locally while simultaneously training a shared high-quality global model. However, current research is general…
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…