Weighted Sampled Split Learning (WSSL): Balancing Privacy, Robustness, and Fairness in Distributed Learning Environments

no code implementations • 27 Oct 2023 • Manish Osti, Aashray Thakuri, Basheer Qolomany, Aos Mulahuwaish

This study presents Weighted Sampled Split Learning (WSSL), an innovative framework tailored to bolster privacy, robustness, and fairness in distributed machine learning systems.

Fairness

Topic Modeling Based on Two-Step Flow Theory: Application to Tweets about Bitcoin

no code implementations • 3 Mar 2023 • Aos Mulahuwaish, Matthew Loucks, Basheer Qolomany, Ala Al-Fuqaha

We found differences in language and interest between these two groups regarding Bitcoin and that the opinion leaders of Twitter are not aligned with the majority of users.

CovidMis20: COVID-19 Misinformation Detection System on Twitter Tweets using Deep Learning Models

1 code implementation • 13 Sep 2022 • Aos Mulahuwaish, Manish Osti, Kevin Gyorick, Majdi Maabreh, Ajay Gupta, Basheer Qolomany

Online news and information sources are convenient and accessible ways to learn about current issues.

Fake News Detection Misinformation