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 …
Recent advances in cloud radio access networks: System architectures, key techniques, and open issues
As a promising paradigm to reduce both capital and operating expenditures, the cloud radio
access network (C-RAN) has been shown to provide high spectral efficiency and energy …
access network (C-RAN) has been shown to provide high spectral efficiency and energy …
Incentive mechanism for reliable federated learning: A joint optimization approach to combining reputation and contract theory
Federated learning is an emerging machine learning technique that enables distributed
model training using local datasets from large-scale nodes, eg, mobile devices, but shares …
model training using local datasets from large-scale nodes, eg, mobile devices, but shares …
Toward secure blockchain-enabled internet of vehicles: Optimizing consensus management using reputation and contract theory
In the Internet of Vehicles (IoV), data sharing among vehicles is critical for improving driving
safety and enhancing vehicular services. To ensure security and traceability of data sharing …
safety and enhancing vehicular services. To ensure security and traceability of data sharing …
Blockchain-based federated learning for industrial metaverses: Incentive scheme with optimal aoi
The emerging industrial metaverses realize the map-ping and expanding operations of
physical industry into virtual space for significantly upgrading intelligent manufacturing. The …
physical industry into virtual space for significantly upgrading intelligent manufacturing. The …
Towards federated learning in uav-enabled internet of vehicles: A multi-dimensional contract-matching approach
Coupled with the rise of Deep Learning, the wealth of data and enhanced computation
capabilities of Internet of Vehicles (IoV) components enable effective Artificial Intelligence …
capabilities of Internet of Vehicles (IoV) components enable effective Artificial Intelligence …
A secure charging scheme for electric vehicles with smart communities in energy blockchain
The smart community (SC), as an important part of the Internet of Energy (IoE), can facilitate
integration of distributed renewable energy sources and electric vehicles (EVs) in the smart …
integration of distributed renewable energy sources and electric vehicles (EVs) in the smart …
Attention-aware resource allocation and QoE analysis for metaverse xURLLC services
Metaverse encapsulates our expectations of the next-generation Internet, while bringing
new key performance indicators (KPIs). Although conventional ultra-reliable and low-latency …
new key performance indicators (KPIs). Although conventional ultra-reliable and low-latency …
Hierarchical incentive mechanism design for federated machine learning in mobile networks
In recent years, the enhanced sensing and computation capabilities of Internet-of-Things
(IoT) devices have opened the doors to several mobile crowdsensing applications. In mobile …
(IoT) devices have opened the doors to several mobile crowdsensing applications. In mobile …
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 …