Blockchain-enabled federated learning: A survey
Federated learning (FL) has experienced a boom in recent years, which is jointly promoted
by the prosperity of machine learning and Artificial Intelligence along with emerging privacy …
by the prosperity of machine learning and Artificial Intelligence along with emerging privacy …
Incentive mechanisms for federated learning: From economic and game theoretic perspective
Federated learning (FL) becomes popular and has shown great potentials in training large-
scale machine learning (ML) models without exposing the owners' raw data. In FL, the data …
scale machine learning (ML) models without exposing the owners' raw data. In FL, the data …
Federated learning-based AI approaches in smart healthcare: concepts, taxonomies, challenges and open issues
Abstract Federated Learning (FL), Artificial Intelligence (AI), and Explainable Artificial
Intelligence (XAI) are the most trending and exciting technology in the intelligent healthcare …
Intelligence (XAI) are the most trending and exciting technology in the intelligent healthcare …
Beyond deep reinforcement learning: A tutorial on generative diffusion models in network optimization
Generative Diffusion Models (GDMs) have emerged as a transformative force in the realm of
Generative Artificial Intelligence (GAI), demonstrating their versatility and efficacy across a …
Generative Artificial Intelligence (GAI), demonstrating their versatility and efficacy across a …
Incentive techniques for the internet of things: a survey
Abstract The Internet of Things (IoT) has remarkably evolved over the last few years to
realize a wide range of newly emerging services and applications empowered by the …
realize a wide range of newly emerging services and applications empowered by the …
Towards fairness-aware federated learning
Recent advances in federated learning (FL) have brought large-scale collaborative machine
learning opportunities for massively distributed clients with performance and data privacy …
learning opportunities for massively distributed clients with performance and data privacy …
Decentral and incentivized federated learning frameworks: A systematic literature review
The advent of federated learning (FL) has sparked a new paradigm of parallel and
confidential decentralized machine learning (ML) with the potential of utilizing the …
confidential decentralized machine learning (ML) with the potential of utilizing the …
A review on federated learning and machine learning approaches: categorization, application areas, and blockchain technology
Federated learning (FL) is a scheme in which several consumers work collectively to unravel
machine learning (ML) problems, with a dominant collector synchronizing the procedure …
machine learning (ML) problems, with a dominant collector synchronizing the procedure …
Blockchain-enabled federated learning for UAV edge computing network: Issues and solutions
C Zhu, X Zhu, J Ren, T Qin - Ieee Access, 2022 - ieeexplore.ieee.org
Unmanned aerial vehicles (UAVs) extend the traditional ground-based Internet of Things
(IoT) into the air. UAV mobile edge computing (MEC) architectures have been proposed by …
(IoT) into the air. UAV mobile edge computing (MEC) architectures have been proposed by …
Deep generative model and its applications in efficient wireless network management: A tutorial and case study
With the phenomenal success of diffusion models and ChatGPT, deep generation models
(DGMs) have been experiencing explosive growth. Not limited to content generation, DGMs …
(DGMs) have been experiencing explosive growth. Not limited to content generation, DGMs …