On indoor localization using wifi, ble, uwb, and imu technologies
Indoor localization is a key research area and has been stated as a major goal for Sixth
Generation (6G) communications. Indoor localization faces many challenges, such as harsh …
Generation (6G) communications. Indoor localization faces many challenges, such as harsh …
Device sampling and resource optimization for federated learning in cooperative edge networks
The conventional federated learning (FedL) architecture distributes machine learning (ML)
across worker devices by having them train local models that are periodically aggregated by …
across worker devices by having them train local models that are periodically aggregated by …
Complex-Valued Neural Network Based Federated Learning for Multi-User Indoor Positioning Performance Optimization
In this article, the use of channel state information (CSI) for indoor positioning is studied. In
the considered model, a server equipped with several antennas sends pilot signals to users …
the considered model, a server equipped with several antennas sends pilot signals to users …
A Novel Method of UAV-Assisted Trajectory Localization for Forestry Environments
J Huang, X Guo - Sensors, 2024 - mdpi.com
Global positioning systems often fall short in dense forest environments, leading to
increasing demand for innovative localization methods. Notably, existing methods suffer …
increasing demand for innovative localization methods. Notably, existing methods suffer …
NETWORK-AWARE FEDERATED LEARNING ACROSS HIGHLY HETEROGENEOUS EDGE/FOG NETWORKS
S Wang - 2023 - hammer.purdue.edu
The parallel growth of contemporary machine learning (ML) technologies alongside edge/-
fog networking has necessitated the development of novel paradigms to effectively manage …
fog networking has necessitated the development of novel paradigms to effectively manage …