Meteorology

Integrating sustainability into STEM curricula

September 15, 2024 by Sudhir K. Routray, and Sasmita Mohanty

In this article, we explore the imperative of incorporating sustainability principles into Science, Technology, Engineering, and Mathematics (STEM) education, emphasizing the interdisciplinary nature of sustainable development. The integration of sustainability into STEM curriculum represents a transformative approach to education that addresses the pressing global challenges … [Read more...] about Integrating sustainability into STEM curricula

Information and communications technology for a sustainable world [Climate Change]

March 6, 2024 by Sudhir K. Routray, Sasmita Mohanty

Information and communications technology (ICT) is among the main tools of the scientific world in modern times. It includes all of the technologies used for processing, transmitting, and storing information and facilitating communication. In fact, ICT includes a wide range of technologies and tools that are used to manage and exchange information, such as computers, software, … [Read more...] about Information and communications technology for a sustainable world [Climate Change]

Privacy-preserving distributed learning: Techniques, applications, and future challenges

The rapid increase in data generated by connected devices has created a pressing need for privacy-preserving techniques in distributed learning. This article examines methods that enable collaborative machine learning (ML) while maintaining data security and user privacy. Key approaches such as federated learning (FL), differential privacy (DP), secure multiparty computation (SMPC), and homomorphic encryption (HE) are analyzed for their unique capabilities and various applications. FL facilitates model training across decentralized data sources, ensuring data remain local, while DP mitigates privacy risks by adding controlled noise. SMPC and HE support secure computations on encrypted data, maintaining confidentiality during processing. Despite their effectiveness, these techniques face challenges related to computational complexity, scalability, and regulatory compliance. The article reviews current advancements, practical implementations, and future directions, emphasizing the need for optimized, accessible solutions to enhance data security in distributed systems.

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