Federated Learning-Empowered Mobile Network Management for 5G and Beyond Networks: From Access to Core
The fifth generation (5G) and beyond wireless networks are envisioned to provide an
integrated communication and computing platform that will enable multipurpose and …
integrated communication and computing platform that will enable multipurpose and …
Federated Learning for Intrusion Detection Systems in Internet of Vehicles: A General Taxonomy, Applications, and Future Directions
J Alsamiri, K Alsubhi - Future Internet, 2023 - mdpi.com
In recent years, the Internet of Vehicles (IoV) has garnered significant attention from
researchers and automotive industry professionals due to its expanding range of …
researchers and automotive industry professionals due to its expanding range of …
[HTML][HTML] A federated learning aided system for classifying cervical cancer using PAP-SMEAR images
Cervical cancer is a significant contributor to female mortality on a global scale, especially in
low-income countries where effective screening programs for the detection and treatment of …
low-income countries where effective screening programs for the detection and treatment of …
Advancing Federated Learning through Verifiable Computations and Homomorphic Encryption
B Zhang, G Lu, P Qiu, X Gui, Y Shi - Entropy, 2023 - mdpi.com
Federated learning, as one of the three main technical routes for privacy computing, has
been widely studied and applied in both academia and industry. However, malicious nodes …
been widely studied and applied in both academia and industry. However, malicious nodes …
Medical Data in Wireless Body Area Networks: Device Authentication Techniques and Threat Mitigation Strategies Based on a Token-Based Communication …
Wireless Body Area Networks (WBANs), low power, and short-range wireless
communication in a near-body area provide advantages, particularly in the medical and …
communication in a near-body area provide advantages, particularly in the medical and …
Exploring the Synergy of Fog Computing, Blockchain, and Federated Learning for IoT Applications: A Systematic Literature Review
The proliferation of Internet of Things (IoT) applications poses formidable challenges in
managing data processing, privacy, and security. In response, technologies such as Fog …
managing data processing, privacy, and security. In response, technologies such as Fog …
A Review of Federated Learning in Agriculture
KR Žalik, M Žalik - Sensors, 2023 - mdpi.com
Federated learning (FL), with the aim of training machine learning models using data and
computational resources on edge devices without sharing raw local data, is essential for …
computational resources on edge devices without sharing raw local data, is essential for …
[HTML][HTML] Balancing Privacy and Performance in Federated Learning: a Systematic Literature Review on Methods and Metrics
Federated learning (FL) as a novel paradigm in Artificial Intelligence (AI), ensures enhanced
privacy by eliminating data centralization and brings learning directly to the edge of the …
privacy by eliminating data centralization and brings learning directly to the edge of the …
Federated vs. Central Machine Learning on Diabetic Foot Ulcer Images: Comparative Simulations
This research examines the implementation of the U-Net model within a federated learning
framework, focusing on the semantic segmentation of Diabetic Foot Ulcers (DFUs) images …
framework, focusing on the semantic segmentation of Diabetic Foot Ulcers (DFUs) images …
Federated learning analysis for vehicular traffic flow prediction: evaluation of learning algorithms and aggregation approaches
Nidhi, J Grover - Cluster Computing, 2024 - Springer
The increasing development and implementation of Intelligent Transportation System have
led to a growing focus on traffic flow prediction. To make these predictions, a large amount of …
led to a growing focus on traffic flow prediction. To make these predictions, a large amount of …