Security of federated learning in 6G era: A review on conceptual techniques and software platforms used for research and analysis
Federated Learning (FL) is an emerging Artificial Intelligence (AI) paradigm enabling
multiple parties to train a model collaboratively without sharing their data. With the upcoming …
multiple parties to train a model collaboratively without sharing their data. With the upcoming …
Optimization of Energy Efficiency for Federated Learning over Unmanned Aerial Vehicle Communication Networks
XT Dang, OS Shin - Electronics, 2024 - mdpi.com
Federated learning (FL) is considered a promising machine learning technique that has
attracted increasing attention in recent years. Instead of centralizing data in one location for …
attracted increasing attention in recent years. Instead of centralizing data in one location for …
Kiosk Recommend System Based On Self-Supervised Representation Learning of User Behaviors in Offline Retail
Recently, in the offline distribution field, as the number of data collection and analysis cases
increases by applying IoT devices to kiosks, research on hyper-personalized …
increases by applying IoT devices to kiosks, research on hyper-personalized …
Terahertz sensing through the lens of the Kalman filter: a bibliometric exploration
K Obaideen, M AlShabi… - Sensing for Agriculture and …, 2024 - spiedigitallibrary.org
The Terahertz (THz) spectrum, situated between microwave and infrared frequencies, is
utilized for applications such as imaging and chemical analysis. This project aims to …
utilized for applications such as imaging and chemical analysis. This project aims to …