Hybrid Transformer-KAN Within Federated Learning Framework: A Novel Machine Learning Approach for Improved Short-Term Weather Forecasting

Hybrid Transformer-KAN Within Federated Learning Framework: A Novel Machine Learning Approach for Improved Short-Term Weather Forecasting

Among the various methods used for time series prediction tasks in weather forecasting, Transformer can effectively extract global information and has achieved tremendous success. However, Transformer is challenged in forecasting series with large lookback windows due to performance degradation and...

Full description

Saved in:
Bibliographic Details
Main Authors: Shuai Jin, Qiang Li, Sanqiu Liu, Olebogeng Kevin Joel, Xiaohu Ge
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Weather forecasting
transformer
Kolmogorov–Arnold network (KAN)
federated learning
machine learning
Online Access:https://ieeexplore.ieee.org/document/11087583/
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://ieeexplore.ieee.org/document/11087583/

Similar Items