Malware open-set recognition (MOSR) aims at jointly classifying malware
...
Federated Semi-supervised Learning (FedSSL) has emerged as a new paradig...
This paper investigates a new, practical, but challenging problem named
...
Online Class-Incremental (OCI) learning has sparked new approaches to ex...
Autonomous driving has now made great strides thanks to artificial
intel...
Blockchain has been deemed as a promising solution for providing securit...
Federated Learning (FL) is an emerging paradigm that enables distributed...
Multimodal learning (MML) aims to jointly exploit the common priors of
d...
Self-attention mechanisms, especially multi-head self-attention (MSA), h...
Multiple-input multiple-output and orthogonal frequency-division multipl...
Quick global aggregation of effective distributed parameters is crucial ...
Personalized Federated Learning (pFL) not only can capture the common pr...
Recently, the enactment of privacy regulations has promoted the rise of
...
Model selection (MS) and model averaging (MA) are two popular approaches...