Overview of distributed machine learning techniques for 6G networks
The main goal of this paper is to survey the influential research of distributed learning
technologies playing a key role in the 6G world. Upcoming 6G technology is expected to …
technologies playing a key role in the 6G world. Upcoming 6G technology is expected to …
Blockchain-empowered AI for 6G-enabled Internet of Vehicles
The 6G communication technologies are expected to provide fast data rates and incessant
connectivity to heterogeneous networks, such as the Internet of Vehicles (IoV). However, the …
connectivity to heterogeneous networks, such as the Internet of Vehicles (IoV). However, the …
UAV/HAP-assisted vehicular edge computing in 6G: Where and what to offload?
In the context of 6th Generation (6G) networks, Vehicular Edge Computing (VEC) is
emerging as a promising solution to let battery-powered ground vehicles with limited …
emerging as a promising solution to let battery-powered ground vehicles with limited …
Joint air-ground distributed federated learning for intelligent transportation systems
Supported by some of the major revolutionary technologies, such as Internet of Vehicles
(IoVs), Edge Computing, and Machine Learning (ML), the traditional Vehicular Networks …
(IoVs), Edge Computing, and Machine Learning (ML), the traditional Vehicular Networks …
Analysis and performance evaluation of transfer learning algorithms for 6G wireless networks
The development of the 5G network and the transition to 6G has given rise to multiple
challenges for ensuring high-quality and reliable network services. One of these main …
challenges for ensuring high-quality and reliable network services. One of these main …
Internet of Vehicles and real-time optimization algorithms: Concepts for vehicle networking in smart cities
Achieving sustainable freight transport and citizens' mobility operations in modern cities are
becoming critical issues for many governments. By analyzing big data streams generated …
becoming critical issues for many governments. By analyzing big data streams generated …
Network selection and computation offloading in non-terrestrial network edge computing environments for vehicular applications
The Edge Computing (EC) paradigm and the Internet of Things (IoT) have transformed the
conventional vehicular network (VN) into a highly reliable, intelligent, and complex …
conventional vehicular network (VN) into a highly reliable, intelligent, and complex …
[HTML][HTML] Fed4UL: A Cloud–Edge–End Collaborative Federated Learning Framework for Addressing the Non-IID Data Issue in UAV Logistics
Artificial intelligence and the Internet of Things (IoT) have brought great convenience to
people's everyday lives. With the emergence of edge computing, IoT devices such as …
people's everyday lives. With the emergence of edge computing, IoT devices such as …
Hierarchical Reinforcement Learning for Multi-layer Multi-Service Non-Terrestrial Vehicular Edge Computing
Vehicular Edge Computing (VEC) represents a novel advancement within the Internet of
Vehicles (IoV). Despite its implementation through Road Side Units (RSUs), VEC frequently …
Vehicles (IoV). Despite its implementation through Road Side Units (RSUs), VEC frequently …
基于高空平台的边缘计算卸载: 网络, 算法和展望
孙恩昌， 李梦思， 何若兰， 张卉， 张延华 - 北京工业大学学报, 2024 - journal.bjut.edu.cn
高空平台(high altitude platform, HAP) 技术与多接入边缘计算(multi-access edge computing,
MEC) 技术的结合将MEC 服务器部署区域由地面扩展到空中, 打破传统地面MEC 网络的局限性 …
MEC) 技术的结合将MEC 服务器部署区域由地面扩展到空中, 打破传统地面MEC 网络的局限性 …