Federated deep reinforcement learning based secure data sharing for Internet of Things
The increasing number of Internet of Things (IoT) devices motivate the data sharing that
improves the quality of IoT services. However, data providers usually suffer from the privacy …
improves the quality of IoT services. However, data providers usually suffer from the privacy …
[HTML][HTML] An intelligent and privacy-enhanced data sharing strategy for blockchain-empowered Internet of Things
With the development of the Internet of Things (IoT), the massive data sharing between IoT
devices improves the Quality of Service (QoS) and user experience in various IoT …
devices improves the Quality of Service (QoS) and user experience in various IoT …
Blockchain and federated learning for privacy-preserved data sharing in industrial IoT
Y Lu, X Huang, Y Dai, S Maharjan… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
The rapid increase in the volume of data generated from connected devices in industrial
Internet of Things paradigm, opens up new possibilities for enhancing the quality of service …
Internet of Things paradigm, opens up new possibilities for enhancing the quality of service …
A privacy-preserving federated learning for multiparty data sharing in social IoTs
As 5G and mobile computing are growing rapidly, deep learning services in the Social
Computing and Social Internet of Things (IoT) have enriched our lives over the past few …
Computing and Social Internet of Things (IoT) have enriched our lives over the past few …
Toward secure data fusion in industrial IoT using transfer learning
As an emerging technology, the industrial Internet of Things (IIoT) can promote the
development of industrial intelligence, improve production efficiency, and reduce …
development of industrial intelligence, improve production efficiency, and reduce …
Federated learning security and privacy-preserving algorithm and experiments research under internet of things critical infrastructure
NA Jalali, H Chen - Tsinghua Science and Technology, 2023 - ieeexplore.ieee.org
The widespread use of the Internet of Things (IoTs) and the rapid development of artificial
intelligence technologies have enabled applications to cross commercial and industrial …
intelligence technologies have enabled applications to cross commercial and industrial …
Game theory based privacy preserving approach for collaborative deep learning in iot
The exponential growth of Internet of Things (IoT) has become a transcending force in
creating innovative smart devices and connected domains including smart homes …
creating innovative smart devices and connected domains including smart homes …
[HTML][HTML] Personalized Fair Split Learning for Resource-Constrained Internet of Things
H Chen, X Chen, L Peng, Y Bai - Sensors, 2023 - mdpi.com
With the flourishing development of the Internet of Things (IoT), federated learning has
garnered significant attention as a distributed learning method aimed at preserving the …
garnered significant attention as a distributed learning method aimed at preserving the …
Blockchain-enabled secure and trusted federated data sharing in IIoT
Federated learning breaks down data silos and promotes the intelligence of the Industrial
Internet of Things (IIoT). However, the principal–agent architecture commonly used in …
Internet of Things (IIoT). However, the principal–agent architecture commonly used in …
A blockchain-based federated learning scheme for data sharing in industrial internet of things
As the Industrial Internet of Things (IIoT) continues to grow in scale, edge devices will
generate massive amounts of data every single day. However, most of the IIoT data exists in …
generate massive amounts of data every single day. However, most of the IIoT data exists in …