Reliable federated learning systems based on intelligent resource sharing scheme for big data internet of things
Federated learning (FL) is the up-to-date approach for privacy constraints Internet of Things
(IoT) applications in next-generation mobile network (NGMN), 5 th generation (5G), and 6 th …
(IoT) applications in next-generation mobile network (NGMN), 5 th generation (5G), and 6 th …
Jointly optimizing client selection and resource management in wireless federated learning for internet of things
Federated learning (FL) has been proposed to efficiently and privacy-preserving distributed
machine learning architecture for the Internet of Things (IoT). In a wireless FL system, clients …
machine learning architecture for the Internet of Things (IoT). In a wireless FL system, clients …
On the ICN-IoT with federated learning integration of communication: Concepts, security-privacy issues, applications, and future perspectives
The individual and integration use of the Internet of Things (IoT), Information-Centric
Networking (ICN), and Federated Learning (FL) have recently been used in several network …
Networking (ICN), and Federated Learning (FL) have recently been used in several network …
Deep-Reinforcement-Learning-Assisted Client Selection in Nonorthogonal-Multiple-Access-Based Federated Learning
To reap the benefit of big data generated by the massive number of Internet of Things (IoT)
devices while preserving data privacy, federated learning (FL) has been proposed to enable …
devices while preserving data privacy, federated learning (FL) has been proposed to enable …
Optimizing efficient personalized federated learning with hypernetworks at edge
R Zhang, Y Chen, C Wu, F Wang, J Liu - IEEE Network, 2023 - ieeexplore.ieee.org
The recent advances in 5G and mobile edge computing facilitate the rapid development of
the Internet of Things (IoT), enabling collective intelligence with data support from a massive …
the Internet of Things (IoT), enabling collective intelligence with data support from a massive …
Blockchain assisted federated learning for enabling network edge intelligence
The recently emerging federated learning (FL) exploits massive data stored at multiple user
nodes to train a global optimal learning model without leaking the privacy of user data …
nodes to train a global optimal learning model without leaking the privacy of user data …
Fairness-aware federated learning with unreliable links in resource-constrained Internet of things
In order to make full use of the network data and guarantee user privacy simultaneously,
federated learning (FL) is proposed to enable distributed intelligence for local nodes without …
federated learning (FL) is proposed to enable distributed intelligence for local nodes without …
Federated learning encounters 6g wireless communication in the scenario of internet of things
J Pei, S Li, Z Yu, L Ho, W Liu… - IEEE Communications …, 2023 - ieeexplore.ieee.org
The ultimate goal of Internet of Things (IoT) technology is to evolve into the Internet of
Everything. Two key elements of IoT are artificial intelligence (AI) for smart devices and the …
Everything. Two key elements of IoT are artificial intelligence (AI) for smart devices and the …
Realizing the heterogeneity: A self-organized federated learning framework for IoT
The ubiquity of devices in Internet of Things (IoT) has opened up a large source for IoT data.
Machine learning (ML) models with big IoT data is beneficial to our daily life in monitoring air …
Machine learning (ML) models with big IoT data is beneficial to our daily life in monitoring air …
Energy-efficient federated learning with resource allocation for green IoT edge intelligence in B5G
An edge intelligence-aided Internet-of-Things (IoT) network has been proposed to
accelerate the response of IoT services by deploying edge intelligence near IoT devices …
accelerate the response of IoT services by deploying edge intelligence near IoT devices …