IoT device friendly and communication-efficient federated learning via joint model pruning and quantization
Federated learning (FL) through its novel applications and services has enhanced its
presence as a promising tool in the Internet of Things (IoT) domain. Specifically, in a …
presence as a promising tool in the Internet of Things (IoT) domain. Specifically, in a …
Accelerating hybrid federated learning convergence under partial participation
Over the past few years, Federated Learning (FL) has become a popular distributed
machine learning paradigm. FL involves a group of clients with decentralized data who …
machine learning paradigm. FL involves a group of clients with decentralized data who …
MOB-FL: Mobility-aware federated learning for intelligent connected vehicles
Federated learning (FL) is a promising approach to enable the future Internet of vehicles
consisting of intelligent connected vehicles (ICVs) with powerful sensing, computing and …
consisting of intelligent connected vehicles (ICVs) with powerful sensing, computing and …
Workie-Talkie: Accelerating Federated Learning by Overlapping Computing and Communications via Contrastive Regularization
Federated learning (FL) over mobile devices is a promising distributed learning paradigm for
various mobile applications. However, practical deployment of FL over mobile devices is …
various mobile applications. However, practical deployment of FL over mobile devices is …
Merit: an on-demand IoT service delivery and resource scheduling scheme for federated learning and blockchain empowered 6G edge networks with reduced time …
M Chowdhury - International Journal of Ad Hoc and …, 2023 - inderscienceonline.com
Federated learning (FL) can improve the privacy-preserving issue of users' IoT devices, in
which users complete the local training and transfer the updated model data to the central …
which users complete the local training and transfer the updated model data to the central …
Features and influencing factors of mobile learning behavior of employees in accounting profession
N Wang, B Dai, C Pei, Y Zhang - International Journal of …, 2022 - search.proquest.com
Data mining of the mobile learning behavior of learners can help researchers understand
the underlying association rules of such behavior and the internal mechanism of the …
the underlying association rules of such behavior and the internal mechanism of the …