Privacy-Focused Cloud Architecture for Distributed Machine Learning

This ArXiv paper likely presents a novel cloud architecture designed to facilitate distributed machine learning while prioritizing data privacy. The focus on privacy preservation is a crucial aspect in contemporary AI research.

• •Addresses the need for privacy in distributed machine learning environments.
• •Proposes a cloud architecture tailored for secure data processing.
• •Likely includes technical details on privacy-preserving techniques.