1 citations · 1 across the 2 of their papers we have counts for
3 papers
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★ 1 cited
Multimodal Online Federated Learning with Modality Missing in Internet of Things
Heqiang Wang, Xiang Liu, Xiaoxiong Zhong +3
The Internet of Things (IoT) ecosystem generates vast amounts of multimodal data from heterogeneous sources such as sensors, cameras, and microphones. As edge intelligence continue…
cs.LG2025
Denoising and Adaptive Online Vertical Federated Learning for Sequential Multi-Sensor Data in Industrial Internet of Things
Heqiang Wang, Xiaoxiong Zhong, Kang Liu +2
With the continuous improvement in the computational capabilities of edge devices such as intelligent sensors in the Industrial Internet of Things, these sensors are no longer limi…