[HTML][HTML] Model aggregation techniques in federated learning: A comprehensive survey
Federated learning (FL) is a distributed machine learning (ML) approach that enables
models to be trained on client devices while ensuring the privacy of user data. Model …
models to be trained on client devices while ensuring the privacy of user data. Model …
A systematic review of disaster management systems: approaches, challenges, and future directions
Disaster management is a critical area that requires efficient methods and techniques to
address various challenges. This comprehensive assessment offers an in-depth overview of …
address various challenges. This comprehensive assessment offers an in-depth overview of …
Detection of autism spectrum disorder (ASD) in children and adults using machine learning
Autism spectrum disorder (ASD) presents a neurological and developmental disorder that
has an impact on the social and cognitive skills of children causing repetitive behaviours …
has an impact on the social and cognitive skills of children causing repetitive behaviours …
Reduction in data imbalance for client-side training in federated learning for the prediction of stock market prices
The approach of federated learning (FL) addresses significant challenges, including access
rights, privacy, security, and the availability of diverse data. However, edge devices produce …
rights, privacy, security, and the availability of diverse data. However, edge devices produce …
Beta Thalassemia Carriers detection empowered federated Learning
Thalassemia is a group of inherited blood disorders that happen when hemoglobin, the
protein in red blood cells that carries oxygen, is not made enough. It is found all over the …
protein in red blood cells that carries oxygen, is not made enough. It is found all over the …
Redefining Urban Traffic Dynamics with TCN-FL Driven Traffic Prediction and Control Strategies
The smart city traffic management domain is perpetually a crucial sector that requires
innovative strategies due to expanding urbanization and vehicle use. In this study, we have …
innovative strategies due to expanding urbanization and vehicle use. In this study, we have …
Analysis of socioeconomic and environmental growth of Muzaffarpur city using a novel rainfall and flood forecasting model
MA Ali - Soft Computing, 2024 - Springer
Assessing the growth of social, environmental, and economic domains are too difficult task.
Thus, an accurate prediction could not be made via the conventional prediction method …
Thus, an accurate prediction could not be made via the conventional prediction method …
Artificial intelligence algorithms in flood prediction: a general overview
M Pandey - Geo-information for Disaster Monitoring and …, 2024 - Springer
This paper presents a comprehensive general overview of the extensive literature available
in the field of application of artificial intelligence (AI) in flood prediction. The initial approach …
in the field of application of artificial intelligence (AI) in flood prediction. The initial approach …
A distributed approach to meteorological predictions: addressing data imbalance in precipitation prediction models through federated learning and GANs
E Jafarigol, TB Trafalis - Computational Management Science, 2024 - Springer
The classification of weather data involves categorizing meteorological phenomena into
classes, thereby facilitating nuanced analyses and precise predictions for various sectors …
classes, thereby facilitating nuanced analyses and precise predictions for various sectors …
AI-empowered mobile edge computing: inducing balanced federated learning strategy over edge for balanced data and optimized computation cost
Abstract In Mobile Edge Computing, the framework of federated learning can enable
collaborative learning models across edge nodes, without necessitating the direct exchange …
collaborative learning models across edge nodes, without necessitating the direct exchange …