Security of federated learning in 6G era: A review on conceptual techniques and software platforms used for research and analysis
SHA Kazmi, F Qamar, R Hassan, K Nisar… - Computer Networks, 2024 - Elsevier
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
NG Jung, OJ Lee, C Choi - IEEE Internet of Things Journal, 2024 - ieeexplore.ieee.org
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 …