Meiqing Wang

Convolutional dual graph Laplacian sparse coding

2022 · arXiv (Cornell University)

In recent years, graph signal processing (GSP) technology has become popular in various fields, and graph Laplacian regularizers have also been introduced into convolutional sparse representation. This paper proposes a convolutional sparse representation model based …

VPFL: A Verifiable Property Federated Learning Framework Against Invisible Attacks in Distributed IoT

2023

The development of Federated Learning (FL) offers an efficient Machine Learning (ML) approach with privacy protection to solve the data island issue in distributed Internet of Things (IoT). However, existing FL frameworks still suffer from …