Federated learning and its role in the privacy preservation of IoT devices
Federated learning (FL) is a cutting-edge artificial intelligence approach. It is a decentralized
problem-solving technique that allows users to train using massive data. Unprocessed …
problem-solving technique that allows users to train using massive data. Unprocessed …
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 …
Federated learning: A survey on enabling technologies, protocols, and applications
This paper provides a comprehensive study of Federated Learning (FL) with an emphasis
on enabling software and hardware platforms, protocols, real-life applications and use …
on enabling software and hardware platforms, protocols, real-life applications and use …
A review of secure federated learning: privacy leakage threats, protection technologies, challenges and future directions
L Ge, H Li, X Wang, Z Wang - Neurocomputing, 2023 - Elsevier
Advances in the new generation of Internet of Things (IoT) technology are propelling the
growth of intelligent industrial applications worldwide. Simultaneously, widespread adoption …
growth of intelligent industrial applications worldwide. Simultaneously, widespread adoption …
A survey on security and privacy of federated learning
Federated learning (FL) is a new breed of Artificial Intelligence (AI) that builds upon
decentralized data and training that brings learning to the edge or directly on-device. FL is a …
decentralized data and training that brings learning to the edge or directly on-device. FL is a …
Federated learning for the internet of things: Applications, challenges, and opportunities
Billions of IoT devices will be deployed in the near future, taking advantage of faster Internet
speed and the possibility of orders of magnitude more endpoints brought by 5G/6G. With the …
speed and the possibility of orders of magnitude more endpoints brought by 5G/6G. With the …
Federated Learning with Privacy-preserving and Model IP-right-protection
In the past decades, artificial intelligence (AI) has achieved unprecedented success, where
statistical models become the central entity in AI. However, the centralized training and …
statistical models become the central entity in AI. However, the centralized training and …
Privacy enhancing and scalable federated learning to accelerate ai implementation in cross-silo and iomt environments
S Rachakonda, S Moorthy, A Jain… - IEEE Journal of …, 2022 - ieeexplore.ieee.org
Federated Learning (FL) is a machine learning technique that enables to collaboratively
learn valuable information across devices or sites without moving the data. In FL, the model …
learn valuable information across devices or sites without moving the data. In FL, the model …
A review of privacy-preserving federated learning for the Internet-of-Things
Abstract The Internet-of-Things (IoT) generates vast quantities of data. Much of this data is
attributable to human activities and behavior. Collecting personal data and executing …
attributable to human activities and behavior. Collecting personal data and executing …
Adaptive upgrade of client resources for improving the quality of federated learning model
S AbdulRahman, H Ould-Slimane… - IEEE Internet of …, 2022 - ieeexplore.ieee.org
Conventional systems are usually constrained to store data in a centralized location. This
restriction has either precluded sensitive data from being shared or put its privacy on the …
restriction has either precluded sensitive data from being shared or put its privacy on the …