Facilitated by mobile edge computing, client-edge-cloud hierarchical
fed...
Cloud-edge-device hierarchical federated learning (HFL) has been recentl...
The widely used Fact-based Visual Question Answering (FVQA) dataset cont...
Although Metaverse has recently been widely studied, its practical
appli...
With the development of mobile edge computing (MEC) and blockchain-based...
Knowledge graph (KG) based Collaborative Filtering is an effective appro...
Blockchain-based federated learning (BCFL) has recently gained tremendou...
Advances in distributed machine learning can empower future communicatio...
Mobile crowdsensing (MCS) counting on the mobility of massive workers he...
With the technological advances in machine learning, effective ways are
...
Personal attributes represent structured information about a person, suc...
Identifying similar movie characters is a captivating task that can be o...
Online forums and social media platforms provide noisy but valuable data...
Images captured under complicated rain conditions often suffer from
noti...
In this paper, we propose an end-to-end feature fusion at-tention networ...