ISSN (Print): 3007-6706 ISSN (Online): 3007-6706
International IT Journal of Research Official Publication of Octopus Publication, Hong Kong
Cover of April-June, 2024
research article

"Encrypted AI for Climate Modeling and Prediction"

  • P N Tsitsiklis

Vol. 2 , Issue 2 (2024) · pp. 141-148

DOI: 10.64180/oct.it.2224141

Abstract

Climate modeling and prediction are critical for understanding and mitigating the impacts of climate change. This paper proposes an innovative approach using Encrypted Artificial Intelligence (Encrypted AI) to enhance the accuracy and security of climate modeling. Encrypted AI leverages advanced cryptographic techniques to train and deploy machine learning models on sensitive climate data without compromising privacy. By encrypting data and computations, Encrypted AI enables collaborative climate research across diverse datasets while protecting the confidentiality of contributing parties. This paper explores the application of Encrypted AI in climate modeling, highlighting its potential to revolutionize climate prediction accuracy and scalability in a secure manner.

Keywords: Encrypted AI Climate modeling Climate prediction Privacy-preserving machine learning Secure data collaboration
0 views 0 downloads

How to Cite

Cite this article