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 …
Fusion of federated learning and industrial Internet of Things: A survey
Abstract Industrial Internet of Things (IIoT) lays a new paradigm for the concept of Industry
4.0 and paves an insight for new industrial era. Nowadays smart machines and smart …
4.0 and paves an insight for new industrial era. Nowadays smart machines and smart …
AUCTION: Automated and quality-aware client selection framework for efficient federated learning
The emergency of federated learning (FL) enables distributed data owners to collaboratively
build a global model without sharing their raw data, which creates a new business chance …
build a global model without sharing their raw data, which creates a new business chance …
Dynamic edge association and resource allocation in self-organizing hierarchical federated learning networks
Federated Learning (FL) is a promising privacy-preserving distributed machine learning
paradigm. However, communication inefficiency remains the key bottleneck that impedes its …
paradigm. However, communication inefficiency remains the key bottleneck that impedes its …
Empowering Farmers with AI: Federated Learning of CNNs for Wheat Diseases Multi-Classification
Higher agricultural outputs are required due to the rising worldwide population, shifting
nutritional preferences, and growing demand for food and basic materials for the industry …
nutritional preferences, and growing demand for food and basic materials for the industry …
Blockchain-empowered federated learning for healthcare metaverses: User-centric incentive mechanism with optimal data freshness
Given the revolutionary role of metaverses, healthcare metaverses are emerging as a
transformative force, creating intelligent healthcare systems that offer immersive and …
transformative force, creating intelligent healthcare systems that offer immersive and …
Multiagent federated reinforcement learning for secure incentive mechanism in intelligent cyber–physical systems
Federated learning (FL) is an emerging technology for empowering various applications that
generate large amounts of data in intelligent cyber–physical systems (ICPS). Though FL can …
generate large amounts of data in intelligent cyber–physical systems (ICPS). Though FL can …
Incentive mechanisms for smart grid: State of the art, challenges, open issues, future directions
Smart grids (SG) are electricity grids that communicate with each other, provide reliable
information, and enable administrators to operate energy supplies across the country …
information, and enable administrators to operate energy supplies across the country …
A resource-constrained and privacy-preserving edge-computing-enabled clinical decision system: A federated reinforcement learning approach
Internet-of-Things-enabled E-health system, which could monitor and collect the personal
health information (PHI), has gradually transformed the clinical treatment to a more …
health information (PHI), has gradually transformed the clinical treatment to a more …