Privacy-preserving machine learning training in IoT aggregation scenarios
In developing smart city, the growing popularity of machine learning (ML) that appreciates
high-quality training data sets generated from diverse Internet-of-Things (IoT) devices raises …
high-quality training data sets generated from diverse Internet-of-Things (IoT) devices raises …
Privacy-preserving federal learning chain for internet of things
Y Xu, Y Mao, S Li, J Li, X Chen - IEEE Internet of Things Journal, 2023 - ieeexplore.ieee.org
The expansion of Internet of Things (IoT) spawns large on-device machine learning
demands, while the machine learning can be a hard task for resource constrained IoT …
demands, while the machine learning can be a hard task for resource constrained IoT …
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 …
Sphinx: Enabling privacy-preserving online learning over the cloud
With the growing complexity of deep learning applications, users have started to delegate
their data and models to the cloud. Among these applications, online learning services …
their data and models to the cloud. Among these applications, online learning services …
Two-level privacy-preserving framework: Federated learning for attack detection in the consumer internet of things
E Rabieinejad, A Yazdinejad… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
As the adoption of Consumer Internet of Things (CIoT) devices surges, so do concerns about
security vulnerabilities and privacy breaches. Given their integration into daily life and data …
security vulnerabilities and privacy breaches. Given their integration into daily life and data …
Efficient dropout-resilient aggregation for privacy-preserving machine learning
Machine learning (ML) has been widely recognized as an enabler of the global trend of
digital transformation. With the increasing adoption of data-hungry machine learning …
digital transformation. With the increasing adoption of data-hungry machine learning …
Privacy-preserving K-nearest neighbors training over blockchain-based encrypted health data
RU Haque, ASMT Hasan, Q Jiang, Q Qu - Electronics, 2020 - mdpi.com
Numerous works focus on the data privacy issue of the Internet of Things (IoT) when training
a supervised Machine Learning (ML) classifier. Most of the existing solutions assume that …
a supervised Machine Learning (ML) classifier. Most of the existing solutions assume that …
Secure federated learning with fully homomorphic encryption for iot communications
NM Hijazi, M Aloqaily, M Guizani… - IEEE Internet of …, 2023 - ieeexplore.ieee.org
The emergence of the Internet of Things (IoT) has revolutionized people's daily lives,
providing superior quality services in cognitive cities, healthcare, and smart buildings …
providing superior quality services in cognitive cities, healthcare, and smart buildings …
Privacy-preserving model training architecture for intelligent edge computing
X Qu, Q Hu, S Wang - Computer Communications, 2020 - Elsevier
With the rapid development of artificial intelligence and increasing data generated by end
devices, the traditional cloud-centric data processing is gradually replaced by intelligent …
devices, the traditional cloud-centric data processing is gradually replaced by intelligent …
DeepPAR and DeepDPA: privacy preserving and asynchronous deep learning for industrial IoT
Industrial Internet of Things (IIoT) is significant of building powerful industrial systems and
applications. Deep learning has provided a promising opportunity to extract useful …
applications. Deep learning has provided a promising opportunity to extract useful …