Heterogeneous federated learning: State-of-the-art and research challenges
Federated learning (FL) has drawn increasing attention owing to its potential use in large-
scale industrial applications. Existing FL works mainly focus on model homogeneous …
scale industrial applications. Existing FL works mainly focus on model homogeneous …
Federated learning as a privacy solution-an overview
Abstract The Fourth Industrial Revolution suggests smart and automated industrial solutions
by incorporating Artificial Intelligence into it. Today, the world of technology is highly …
by incorporating Artificial Intelligence into it. Today, the world of technology is highly …
Stochastic client selection for federated learning with volatile clients
Federated learning (FL), arising as a privacy-preserving machine learning paradigm, has
received notable attention from the public. In each round of synchronous FL training, only a …
received notable attention from the public. In each round of synchronous FL training, only a …
Online client selection for asynchronous federated learning with fairness consideration
Federated learning (FL) leverages the private data and computing power of multiple clients
to collaboratively train a global model. Many existing FL algorithms over wireless networks …
to collaboratively train a global model. Many existing FL algorithms over wireless networks …
Wireless distributed learning: A new hybrid split and federated learning approach
Cellular-connected unmanned aerial vehicle (UAV) with flexible deployment is foreseen to
be a major part of the sixth generation (6G) networks. The UAVs connected to the base …
be a major part of the sixth generation (6G) networks. The UAVs connected to the base …
Adaptive hierarchical federated learning over wireless networks
Federated learning (FL) is promising in enabling large-scale model training by massive
devices without exposing their local datasets. However, due to limited wireless resources …
devices without exposing their local datasets. However, due to limited wireless resources …
Exploring deep-reinforcement-learning-assisted federated learning for online resource allocation in privacy-preserving edgeiot
Federated learning (FL) has been increasingly considered to preserve data training privacy
from eavesdropping attacks in mobile-edge computing-based Internet of Things (EdgeIoT) …
from eavesdropping attacks in mobile-edge computing-based Internet of Things (EdgeIoT) …
Federated learning-empowered mobile network management for 5G and beyond networks: From access to core
The fifth generation (5G) and beyond wireless networks are envisioned to provide an
integrated communication and computing platform that will enable multipurpose and …
integrated communication and computing platform that will enable multipurpose and …
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 …
Reputation-aware hedonic coalition formation for efficient serverless hierarchical federated learning
Amid growing concerns on data privacy, Federated Learning (FL) has emerged as a
promising privacy preserving distributed machine learning paradigm. Given that the FL …
promising privacy preserving distributed machine learning paradigm. Given that the FL …