Combining federated learning and edge computing toward ubiquitous intelligence in 6G network: Challenges, recent advances, and future directions
Full leverage of the huge volume of data generated on a large number of user devices for
providing intelligent services in the 6G network calls for Ubiquitous Intelligence (UI). A key to …
providing intelligent services in the 6G network calls for Ubiquitous Intelligence (UI). A key to …
UAV-assisted communication efficient federated learning in the era of the artificial intelligence of things
Artificial Intelligence (AI) based models are increasingly deployed in the Internet of Things
(IoT), paving the evolution of the IoT into the AI of things (AIoT). Currently, the predominant …
(IoT), paving the evolution of the IoT into the AI of things (AIoT). Currently, the predominant …
Future intelligent and secure vehicular network toward 6G: Machine-learning approaches
As a powerful tool, the vehicular network has been built to connect human communication
and transportation around the world for many years to come. However, with the rapid growth …
and transportation around the world for many years to come. However, with the rapid growth …
Particle swarm optimized federated learning for industrial IoT and smart city services
Most of the research on Federated Learning (FL) has focused on analyzing global
optimization, privacy, and communication, with limited attention focusing on analyzing the …
optimization, privacy, and communication, with limited attention focusing on analyzing the …
Federated learning in mobile edge networks: A comprehensive survey
In recent years, mobile devices are equipped with increasingly advanced sensing and
computing capabilities. Coupled with advancements in Deep Learning (DL), this opens up …
computing capabilities. Coupled with advancements in Deep Learning (DL), this opens up …
Edge-native intelligence for 6G communications driven by federated learning: A survey of trends and challenges
New technological advancements in wireless networks have enlarged the number of
connected devices. The unprecedented surge of data volume in wireless systems …
connected devices. The unprecedented surge of data volume in wireless systems …
Reputation-based regional federated learning for knowledge trading in blockchain-enhanced IoV
Y Zou, F Shen, F Yan, J Lin… - 2021 IEEE wireless …, 2021 - ieeexplore.ieee.org
The Internet of Vehicles (IoV) aims to perceive, compute, and process environmental data in
a collaborative manner. Previous works focus on data sharing between vehicles, but a large …
a collaborative manner. Previous works focus on data sharing between vehicles, but a large …
An incentive mechanism of incorporating supervision game for federated learning in autonomous driving
Federated learning (FL), as a distributed machine learning technology, allows large-scale
nodes to utilize local datasets for model training and sharing without revealing privacy …
nodes to utilize local datasets for model training and sharing without revealing privacy …
[HTML][HTML] Federated learning for 6G-enabled secure communication systems: a comprehensive survey
Abstract Machine learning (ML) and Deep learning (DL) models are popular in many areas,
from business, medicine, industries, healthcare, transportation, smart cities, and many more …
from business, medicine, industries, healthcare, transportation, smart cities, and many more …
Digital twin enhanced federated reinforcement learning with lightweight knowledge distillation in mobile networks
The high-speed mobile networks offer great potentials to many future intelligent applications,
such as autonomous vehicles in smart transportation systems. Such networks provide the …
such as autonomous vehicles in smart transportation systems. Such networks provide the …