1 citations · 1 across the 2 of their papers we have counts for
3 papers
Efficient LLM Context Distillation
Rajesh Upadhayaya, Manish Raj Osti, Zachary Smith +1
Large Language Models (LLMs) demonstrate proficiency across diverse tasks but often require targeted adaptations for specific applications. Various methods have been proposed to fa…
Weighted Sampled Split Learning (WSSL): Balancing Privacy, Robustness, and Fairness in Distributed Learning Environments
Manish Osti, Aashray Thakuri, Basheer Qolomany +1
This study presents Weighted Sampled Split Learning (WSSL), an innovative framework tailored to bolster privacy, robustness, and fairness in distributed machine learning systems. U…
CovidMis20: COVID-19 Misinformation Detection System on Twitter Tweets using Deep Learning Models
Aos Mulahuwaish, Manish Osti, Kevin Gyorick +3
Online news and information sources are convenient and accessible ways to learn about current issues. For instance, more than 300 million people engage with posts on Twitter global…