- [2102.01375] Applications of Federated Learning in Smart Cities🔍
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- Federated learning for smart cities🔍
- Applications of federated learning in smart cities🔍
- Federated Learning in Smart City Sensing🔍
- Federated learning enabled digital twins for smart cities🔍
- Federated learning and its application in smart cities🔍
- Green Federated Learning🔍
Applications of federated learning in smart cities
[2102.01375] Applications of Federated Learning in Smart Cities
Title:Applications of Federated Learning in Smart Cities: Recent Advances, Taxonomy, and Open Challenges ... Abstract:Federated learning plays an ...
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.
Federated learning for smart cities: A comprehensive survey
FL can solve several issues of smart cities, including privacy preservation, and big data handling, enabling decision-makers to make real-time decisions [14], [ ...
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.
Applications of federated learning in smart cities - NASA ADS
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 ...
Applications of federated transfer learning would be teaching autonomous vehicles to recognize new signs and road conditions through deep neural networks.
Federated learning enabled digital twins for smart cities
We present a comprehensive survey on the integration of Federated Learning with Digital Twin. ... Discusses recent smart city applications where Federated ...
Federated learning for smart cities - NSF PAR
Moreover, several smart city applications such as traffic prediction, smart industries, environmental monitoring, and disaster management.
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 ...
[2102.01375] Applications of Federated Learning in Smart Cities
Federated learning (FL) plays an important role in the development of smart cities. With the development of big data and artificial ...
Applications of federated learning in smart cities - Semantic Scholar
... applications and research directions of FL in smart cities are discussed. Federated learning (FL) plays an important role in the development of smart cities ...
Green Federated Learning: Optimized Communication Costs for ...
In large-scale wireless smart city applications, sustainability is one of the main challenges in the smart ecosystem [4], and therefore, reduced energy ...
Integration of federated learning with IoT for smart cities applications ...
Federated learning (FL) has made a decentralized, cooperative AI system that can be used by many IoT apps that use AI. It is possible because it ...
The Impact of Federated Learning on Improving the IoT-Based ...
The caching mechanism of federated learning in smart cities is vital for improving data handling and communication in IoT environments.
Federated learning for smart cities: A comprehensive survey
Federated learning techniques enable smart cities to deploy lightweight learning models as it supports collaborative learning, where raw data at the edges are ...
Federated learning for smart cities: A comprehensive survey
To envision smart cities, it will be necessary to integrate federated learning (FL) with smart city applications. FL integration with smart city ...
Federated learning in smart cities: : Privacy and security survey
Compared with centralized machine learning, federated learning (FL) provides a natural method to protect users' privacy by distributing learning over ...
[PDF] Federated Learning in Smart City Sensing: Challenges and ...
An overview of smart city sensing and its current challenges followed by the potential of Federated Learning in addressing those challenges is presented and ...
Federated Learning in Smart City Sensing - S-Logix
Despite their effectiveness, legacy data acquisition models backed with centralized Machine Learning models entail security and privacy concerns, and lead to ...