Federated learning for internet of things: A comprehensive survey
The Internet of Things (IoT) is penetrating many facets of our daily life with the proliferation of
intelligent services and applications empowered by artificial intelligence (AI). Traditionally …
intelligent services and applications empowered by artificial intelligence (AI). Traditionally …
Federated learning meets blockchain in edge computing: Opportunities and challenges
Mobile-edge computing (MEC) has been envisioned as a promising paradigm to handle the
massive volume of data generated from ubiquitous mobile devices for enabling intelligent …
massive volume of data generated from ubiquitous mobile devices for enabling intelligent …
A survey of multi-access edge computing in 5G and beyond: Fundamentals, technology integration, and state-of-the-art
Driven by the emergence of new compute-intensive applications and the vision of the
Internet of Things (IoT), it is foreseen that the emerging 5G network will face an …
Internet of Things (IoT), it is foreseen that the emerging 5G network will face an …
Security requirements and challenges of 6G technologies and applications
After implementing 5G technology, academia and industry started researching 6th
generation wireless network technology (6G). 6G is expected to be implemented around the …
generation wireless network technology (6G). 6G is expected to be implemented around the …
6G wireless systems: A vision, architectural elements, and future directions
Internet of everything (IoE)-based smart services are expected to gain immense popularity in
the future, which raises the need for next-generation wireless networks. Although fifth …
the future, which raises the need for next-generation wireless networks. Although fifth …
A survey on green 6G network: Architecture and technologies
T Huang, W Yang, J Wu, J Ma, X Zhang… - IEEE access, 2019 - ieeexplore.ieee.org
While 5G is being commercialized worldwide, research institutions around the world have
started to look beyond 5G and 6G is expected to evolve into green networks, which deliver …
started to look beyond 5G and 6G is expected to evolve into green networks, which deliver …
Leveraging Deep Learning and IoT big data analytics to support the smart cities development: Review and future directions
The rapid growth of urban populations worldwide imposes new challenges on citizens' daily
lives, including environmental pollution, public security, road congestion, etc. New …
lives, including environmental pollution, public security, road congestion, etc. New …
Deep learning for security in digital twins of cooperative intelligent transportation systems
The purpose is to solve the security problems of the Cooperative Intelligent Transportation
System (CITS) Digital Twins (DTs) in the Deep Learning (DL) environment. The DL algorithm …
System (CITS) Digital Twins (DTs) in the Deep Learning (DL) environment. The DL algorithm …
Toward edge intelligence: Multiaccess edge computing for 5G and Internet of Things
To satisfy the increasing demand of mobile data traffic and meet the stringent requirements
of the emerging Internet-of-Things (IoT) applications such as smart city, healthcare, and …
of the emerging Internet-of-Things (IoT) applications such as smart city, healthcare, and …
[HTML][HTML] Security and privacy in 6G networks: New areas and new challenges
With the deployment of more and more 5g networks, the limitations of 5g networks have
been found, which undoubtedly promotes the exploratory research of 6G networks as the …
been found, which undoubtedly promotes the exploratory research of 6G networks as the …