Precisely reconstructing and manipulating crumpled cloths is challenging...
With the rapid development of cloud computing, edge computing, and smart...
Vertical distributed learning exploits the local features collected by
m...
This paper proposes a knowledge-and-data-driven graph neural network-bas...
This paper focuses on the problem of joint beamforming control and power...
Coronavirus disease 2019 (COVID-19) pandemic is an unprecedented global
...
With similarity-based content delivery, the request for a content can be...
We consider the problem of demand-side energy management, where each
hou...
We study a decentralized channel allocation problem in an ad-hoc Interne...
In the past decades, the blockchain technology has attracted tremendous
...
With the development of decentralized consensus protocols, permissionles...
The goal of confidence-set learning in the binary classification setting...
With the explosive growth of smart IoT devices at the edge of the Intern...
In sponsored content and service markets, the content and service provid...
The past decade has witnessed the rapid evolution in blockchain technolo...
Open-access blockchains based on proof-of-work protocols have gained
tre...
In this paper, we study the transmission strategy adaptation problem in ...
Blockchains enables tamper-proof, ordered logging for transactional data...
In blockchain networks adopting the proof-of-work schemes, the monetary
...
The fog radio access network (F-RAN) is a promising paradigm for the fif...
In many real applications of statistical learning, a decision made from
...
Mobile big data contains vast statistical features in various dimensions...