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Federated learning and its application in smart cities
Full article: Applications of federated learning in smart cities
We explain the current developments in FL in fields, such as the Internet of Things (IoT), transportation, communications, finance, and medicine.
[2102.01375] Applications of Federated Learning in Smart Cities
Federated learning plays an important role in the process of smart cities. With the development of big data and artificial intelligence, there ...
Federated learning for smart cities: A comprehensive survey
Then, we discuss the concept of FL for smart cities, and numerous FL integrated smart city applications, including smart transportation systems, smart ...
Federated learning and its application in smart cities
Smart cities aim to collect heterogeneous energy-related datasets from different districts, meanwhile exploring their potential values and ...
Federated learning for smart cities: A comprehensive survey
An important aspect of FL is that it helps in training shared statistics using decentralized devices or servers. Even though data scientists and researchers use ...
Applications of federated learning in smart cities
Federated learning (FL) plays an important role in the development of smart cities. With the evolution of big data and artificial intelligence, ...
Federated Learning in Smart City Sensing: Challenges and ...
The latest advancements in wireless communication technology have propelled the widespread use of smart technologies, cloud computing, and the Internet of ...
Federated learning for smart cities - NSF PAR
Then, we discuss the concept of FL for smart cities, and numerous FL integrated smart city applications, including smart transportation systems, ...
Applications of federated learning in smart cities: recent advances ...
We explain the current developments in FL in fields, such as the Internet of Things (IoT), transportation, communications, finance, and medicine.
Applications of federated learning in smart cities - ResearchGate
We explain the current developments in FL in fields, such as the Internet of Things (IoT), transportation, communications, finance, and medicine.
Federated learning in smart cities: : Privacy and security survey
AbstractOver the last decade, smart cities (SC) have been developed worldwide. Implementing big data and the internet of things improves the monitoring and ...
[PDF] Federated Learning in Smart City Sensing: Challenges and ...
An Insight into Federated Learning Based Digital Twin Applications in Smart City · Computer Science, Environmental Science. 2023 5th International Conference on ...
Integration of federated learning with IoT for smart cities applications ...
It is possible because it can train AI on IoT devices that are spread out and do not need to share data. FL allows local models to be trained on ...
Federated Learning Shaping the Future of Smart City Infrastructure
Smart cities use local data live with federated learning. Smart cities use federated learning algorithms and sensor and IoT device model ...
Communication Efficient Model-Aware Federated Learning for ...
Communication Efficient Model-Aware Federated Learning for Visual Crowd Counting and Density Estimation in Smart Cities. Abstract: Federated learning (FL) is an ...
Applications of federated learning in smart cities - Semantic Scholar
The background, definition, and key technologies of FL are introduced and the future applications and research directions of FL in smart cities are ...
arXiv:2102.01375v2 [cs.LG] 14 Mar 2021
Finally, we discuss the future applications and research directions of. FL in smart cities. KEYWORDS. Federated learning; Smart city; Internet ...
Digital Twins and Federated Learning for Smart Cities and Their ...
This chapter is written with the intent to explore the history, architecture, applications, and challenges in the implementation of digital twin with IoT ...
Federated Learning for Smart City Application - S-Logix
Federated learning offers collaborative construction of smart city technologies through training the learning model locally and aggregates the local updates.
Trustworthy AI and Federated Learning for Sustainable Smart Cities
These two technologies could enable a smart city application that is sustainable and their applications for smart cities will flourish if all stakeholders have ...