collaborators

6 papers

cs.CR2026

Efficient ML-DSA Public Key Management Method with Identity for PKI and Its Application

Penghui Liu, Yi Niu, Xiaoxiong Zhong +4

With the rapid evolution of the Industrial Internet of Things (IIoT), the boundaries and scale of the Internet are continuously expanding. Consequently, the limitations of traditio…

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

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

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…

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…