Federated learning in smart city sensing: Challenges and opportunities
Smart Cities sensing is an emerging paradigm to facilitate the transition into smart city
services. The advent of the Internet of Things (IoT) and the widespread use of mobile …
services. The advent of the Internet of Things (IoT) and the widespread use of mobile …
Federated learning for smart cities: A comprehensive survey
With the advent of new technologies such as the Artificial Intelligence of Things (AIoT), big
data, fog computing, and edge computing, smart city applications have suffered from issues …
data, fog computing, and edge computing, smart city applications have suffered from issues …
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 …
Artificial intelligence and machine learning for ensuring security in smart cities
The smart city emerged as a model with the rapid growth of robust information and
communication technology and the development of ubiquitous sensing technology. A smart …
communication technology and the development of ubiquitous sensing technology. A smart …
Applications of federated learning in smart cities: recent advances, taxonomy, and open challenges
Federated learning (FL) plays an important role in the development of smart cities. With the
evolution of big data and artificial intelligence, issues related to data privacy and protection …
evolution of big data and artificial intelligence, issues related to data privacy and protection …
Starfl: Hybrid federated learning architecture for smart urban computing
From facial recognition to autonomous driving, Artificial Intelligence (AI) will transform the
way we live and work over the next couple of decades. Existing AI approaches for urban …
way we live and work over the next couple of decades. Existing AI approaches for urban …
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) …
Federated learning enabled digital twins for smart cities: Concepts, recent advances, and future directions
SP Ramu, P Boopalan, QV Pham… - Sustainable Cities and …, 2022 - Elsevier
Abstract Recent advances in Artificial Intelligence (AI) and the Internet of Things (IoT) have
facilitated continuous improvement in smart city based applications such as smart …
facilitated continuous improvement in smart city based applications such as smart …
An efficient and reliable asynchronous federated learning scheme for smart public transportation
Since the traffic conditions change over time, machine learning models that predict traffic
flows must be updated continuously and efficiently in smart public transportation. Federated …
flows must be updated continuously and efficiently in smart public transportation. Federated …
Exploiting unlabeled data in smart cities using federated edge learning
Privacy concerns are considered one of the main challenges in smart cities as sharing
sensitive data induces threatening problems in people's lives. Federated learning has …
sensitive data induces threatening problems in people's lives. Federated learning has …
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