Decentralized federated learning: Fundamentals, state of the art, frameworks, trends, and challenges
In recent years, Federated Learning (FL) has gained relevance in training collaborative
models without sharing sensitive data. Since its birth, Centralized FL (CFL) has been the …
models without sharing sensitive data. Since its birth, Centralized FL (CFL) has been the …
A survey of beam management for mmWave and THz communications towards 6G
Communication in millimeter wave (mmWave) and even terahertz (THz) frequency bands is
ushering in a new era of wireless communications. Beam management, namely initial …
ushering in a new era of wireless communications. Beam management, namely initial …
Decentralized federated learning: A survey and perspective
Federated learning (FL) has been gaining attention for its ability to share knowledge while
maintaining user data, protecting privacy, increasing learning efficiency, and reducing …
maintaining user data, protecting privacy, increasing learning efficiency, and reducing …
Federated learning with fair incentives and robust aggregation for UAV-aided crowdsensing
Unmanned aerial vehicles (UAVs) combined with artificial intelligence (AI) have recently
gathered significant interest to enable intelligent and on-demand crowdsensing …
gathered significant interest to enable intelligent and on-demand crowdsensing …
A systematic literature review on blockchain enabled federated learning framework for internet of vehicles
While the convergence of Artificial Intelligence (AI) techniques with improved information
technology systems ensured enormous benefits to the Internet of Vehicles (IoVs) systems, it …
technology systems ensured enormous benefits to the Internet of Vehicles (IoVs) systems, it …
Federated Learning-based Misbehaviour detection on an emergency message dissemination scenario for the 6G-enabled Internet of Vehicles
LJ Vinita, V Vetriselvi - Ad Hoc Networks, 2023 - Elsevier
With the 6G-enabled Internet of Vehicles (IoV), the Intelligent Transportation System (ITS)
uses new communication technologies and smart data analysis to make transportation …
uses new communication technologies and smart data analysis to make transportation …
Advancements in federated learning: Models, methods, and privacy
Federated learning (FL) is a promising technique for resolving the rising privacy and security
concerns. Its main ingredient is to cooperatively learn the model among the distributed …
concerns. Its main ingredient is to cooperatively learn the model among the distributed …
Multi-UAV-assisted federated learning for energy-aware distributed edge training
Unmanned aerial vehicle (UAV)-assisted mobile edge computing (MEC) has largely
extended the border and capacity of artificial intelligence of things (AIoT) by providing a key …
extended the border and capacity of artificial intelligence of things (AIoT) by providing a key …
Exploiting UAV for air–ground integrated federated learning: A joint UAV location and resource optimization approach
Y Jing, Y Qu, C Dong, W Ren, Y Shen… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Recently, many exciting usage scenarios and groundbreaking technologies for sixth
generation (6G) networks have drawn more and more attention. The revolution of 6G mainly …
generation (6G) networks have drawn more and more attention. The revolution of 6G mainly …
FedShip: Federated Over-the-Air Learning for Communication-Efficient and Privacy-Aware Smart Shipping in 6G Communications
AE Giannopoulos, ST Spantideas… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
Maritime and shipping are unambiguously the cornerstones of the global economy and
transportation. To improve efficiency, maritime sector activities are focused on the realization …
transportation. To improve efficiency, maritime sector activities are focused on the realization …