Federated learning in smart cities: Privacy and security survey
Over the last decade, smart cities (SC) have been developed worldwide. Implementing big
data and the internet of things improves the monitoring and integration of different …
data and the internet of things improves the monitoring and integration of different …
A comprehensive survey on vehicular networking: Communications, applications, challenges, and upcoming research directions
Nowadays, advanced communication technologies are being utilized to develop intelligent
transportation management and driving assistance. Through the ability to exchange traffic …
transportation management and driving assistance. Through the ability to exchange traffic …
Federated learning in intelligent transportation systems: Recent applications and open problems
Intelligent transportation systems (ITSs) have been fueled by the rapid development of
communication technologies, sensor technologies, and the Internet of Things (IoT) …
communication technologies, sensor technologies, and the Internet of Things (IoT) …
Fed-ntp: A federated learning algorithm for network traffic prediction in vanet
SS Sepasgozar, S Pierre - IEEE Access, 2022 - ieeexplore.ieee.org
During the last years, the volume of data produced in smart cities has been growing up,
which can cause network traffic. Some of the challenges in an Intelligent Transportation …
which can cause network traffic. Some of the challenges in an Intelligent Transportation …
Joint optimal quantization and aggregation of federated learning scheme in VANETs
Y Li, Y Guo, M Alazab, S Chen… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Vehicular ad hoc networks (VANETs) is one of the most promising approaches for the
Intelligent Transportation Systems (ITS). With the rapid increase in the amount of traffic data …
Intelligent Transportation Systems (ITS). With the rapid increase in the amount of traffic data …
A collaborative privacy-preserving approach for passenger demand forecasting of autonomous taxis empowered by federated learning in smart cities
A Munawar, M Piantanakulchai - Scientific Reports, 2024 - nature.com
Abstract The concept of Autonomous Taxis (ATs) has witnessed a remarkable surge in
popularity in recent years, paving the way toward future smart cities. However, accurately …
popularity in recent years, paving the way toward future smart cities. However, accurately …
A novel framework for traffic congestion management at intersections using federated learning and vertical partitioning
Federated learning has shown exceptional usability in diverse domains, such as IoT,
healthcare, FinTech, Insurance Sector and other Industries and Technologies. In numerous …
healthcare, FinTech, Insurance Sector and other Industries and Technologies. In numerous …
Federated Learning Enabled Edge Computing Security for Internet of Medical Things: Concepts, Challenges and Open Issues
The rapid emergence of the Internet of Medical Things (IoMT) has resulted in the ubiquitous
home health diagnostic network. Despite these substantial advancements in recent years …
home health diagnostic network. Despite these substantial advancements in recent years …
Federated trustworthy AI architecture for smart cities
As the number of smart citizens or users grows, several governments are eager to develop
smart cities. All stakeholders, including intelligent users, demand an AI system that is …
smart cities. All stakeholders, including intelligent users, demand an AI system that is …
[HTML][HTML] A federated learning model for integrating sustainable routing with the Internet of Vehicular Things using genetic algorithm
A distributed machine learning technique called federated learning allows numerous
Internet of Things (IoT) edge devices to work together to train a model without sharing their …
Internet of Things (IoT) edge devices to work together to train a model without sharing their …