In-edge ai: Intelligentizing mobile edge computing, caching and communication by federated learning
Recently, along with the rapid development of mobile communication technology, edge
computing theory and techniques have been attracting more and more attention from global …
computing theory and techniques have been attracting more and more attention from global …
Federated deep reinforcement learning for Internet of Things with decentralized cooperative edge caching
Edge caching is an emerging technology for addressing massive content access in mobile
networks to support rapidly growing Internet-of-Things (IoT) services and applications …
networks to support rapidly growing Internet-of-Things (IoT) services and applications …
Intelligence-empowered mobile edge computing: Framework, issues, implementation, and outlook
Recently, artificial intelligence (AI) is undergoing a sustained success renaissance as it can
substantially improve networks' cognitive performance and intelligence, thereby contributing …
substantially improve networks' cognitive performance and intelligence, thereby contributing …
HetMEC: Heterogeneous multi-layer mobile edge computing in the 6 G era
Driven by an increasing number of mobile applications, mobile edge computing (MEC) has
been considered as a promising candidate to support the huge amount of data processing …
been considered as a promising candidate to support the huge amount of data processing …
Intelligent resource management at the edge for ubiquitous IoT: An SDN-based federated learning approach
The ubiquitous nature of Internet of Things (IoT) devices has posited many challenges that
need innovative solutions in the 5G era. Software defined networks (SDNs) are becoming …
need innovative solutions in the 5G era. Software defined networks (SDNs) are becoming …
Lotteryfl: Empower edge intelligence with personalized and communication-efficient federated learning
With the proliferation of mobile computing and Internet of Things (IoT), massive mobile and
IoT devices are connected to the Internet. These devices are generating a huge amount of …
IoT devices are connected to the Internet. These devices are generating a huge amount of …
Federated deep reinforcement learning for recommendation-enabled edge caching in mobile edge-cloud computing networks
To support rapidly increasing services and applications from users, multi-tier computing is
emerged as a promising system-level computing architecture by distributing …
emerged as a promising system-level computing architecture by distributing …
Deep reinforcement learning based mobile edge computing for intelligent Internet of Things
R Zhao, X Wang, J Xia, L Fan - Physical Communication, 2020 - Elsevier
In this paper, we investigate mobile edge computing (MEC) networks for intelligent internet
of things (IoT), where multiple users have some computational tasks assisted by multiple …
of things (IoT), where multiple users have some computational tasks assisted by multiple …
Collective deep reinforcement learning for intelligence sharing in the internet of intelligence-empowered edge computing
Edge intelligence is emerging as a new interdiscipline to push learning intelligence from
remote centers to the edge of the network. However, with its widespread deployment, new …
remote centers to the edge of the network. However, with its widespread deployment, new …
[图书][B] Mobile edge computing
Y Zhang - 2022 - library.oapen.org
This is an open access book. It offers comprehensive, self-contained knowledge on Mobile
Edge Computing (MEC), which is a very promising technology for achieving intelligence in …
Edge Computing (MEC), which is a very promising technology for achieving intelligence in …