3 papers
cs.LG2026
Parameter Efficient Multi-Class Intelligent Scheduling for Multimodal Online Distributed Industrial Anomaly Detection
Heqiang Wang, Weihong Yang, Zheyuan Yang +4
Industrial anomaly detection has attracted significant attention as a fundamental challenge in industrial systems. The rapid advancement of heterogeneous industrial sensors has dri…
cs.LG2025
Mitigating Modality Quantity and Quality Imbalance in Multimodal Online Federated Learning
Heqiang Wang, Weihong Yang, Xiaoxiong Zhong +3
The Internet of Things (IoT) ecosystem produces massive volumes of multimodal data from diverse sources, including sensors, cameras, and microphones. With advances in edge intellig…
cs.LG2025
Computation and Communication Efficient Lightweighting Vertical Federated Learning for Smart Building IoT
Heqiang Wang, Xiang Liu, Yucheng Liu +3
With the increasing number and enhanced capabilities of IoT devices in smart buildings, these devices are evolving beyond basic data collection and control to actively participate…