large-scale computing

A blindfold approach improves machine learning privacy

1 min read · Mon, Apr 28 2025

machine learning artificial intelligence distributed systems large-scale computing

A query-based method for extracting knowledge from sensitive datasets without showing any underlying private data could resolve long-standing privacy concerns in machine learning.

Sameh Abdulah

Sameh Abdulah

Senior Research Scientist, Applied Mathematics and Computational Science

exageostat extreme computing parallel algorithms large-scale computing machine learning Statistical computing

Dr. Sameh Abdulah specializes in HPC, scalable algorithms, and climate modeling, with innovations receiving the ACM Gordon Bell Prize for Climate Modelling.

Marco Canini

Professor, Computer Science

machine learning artificial intelligence distributed systems large-scale computing cloud computing programmable networks

Professor Canini’s research seeks to improve networked-system design, implementation and operation concerning vital properties such as reliability, performance, security and energy efficiency.