The explosion of online user-generated content (UGC) and the development of big data analysis provide a new opportunity and challenge to understand and respond to public opinions in the G2C e-government context. To better understand semantic searching of public comments on an online platform for...

Training effective machine learning algorithms requires inhomogeneous data from different sources, which may violate data protection regulations. Federated learning (FedL), emerged as a privacy-aware alternative, enables collaborative model training without accessing the original data. One of...

The Finite Rate of Innovation (FRI) sampling theory can realize the sub-Nyquist sampling and reconstruction of the pulse streams, which aims to reconstruct the characteristic parameters rather than the time domain waveform. Different from the classical spectral estimation algorithm in this...