A Distributed Approach to Meteorological Predictions: Addressing Data Imbalance in Precipitation Prediction Models through Federated Learning and GANs.
Elaheh JafarigolTheodore B. TrafalisPublished in: CoRR (2023)
Keyphrases
- learned models
- accurate models
- data sets
- distributed data
- models built
- prior knowledge
- data sources
- distributed systems
- training data
- learning models
- statistical methods
- experimental data
- meteorological data
- hidden variables
- data structure
- learning process
- data collection
- reinforcement learning
- predictive model
- historical data
- database
- missing values
- learning tasks
- data analysis
- bayesian methods
- knowledge discovery
- learning algorithm
- heterogeneous data
- prediction accuracy
- satellite images
- prediction model
- distributed environment
- supervised learning
- data distribution
- background knowledge
- missing data