no code implementations • IET Systems Biology 2019 • Ali Raza, Muhammad Rafiq, Dumitru Baleanu, Muhammad Shoaib Arif, Muhammad Naveed, Kaleem Ashraf
This study is an attempt to explain a reliable numerical analysis of a stochastic HIV/AIDS model in a two-sex population considering counselling and antiretroviral therapy (ART).
1 code implementation • 16 Dec 2020 • Ninareh Mehrabi, Muhammad Naveed, Fred Morstatter, Aram Galstyan
Algorithmic fairness has attracted significant attention in recent years, with many quantitative measures suggested for characterizing the fairness of different machine learning algorithms.
no code implementations • 7 Aug 2021 • Dimitris Stripelis, Hamza Saleem, Tanmay Ghai, Nikhil Dhinagar, Umang Gupta, Chrysovalantis Anastasiou, Greg Ver Steeg, Srivatsan Ravi, Muhammad Naveed, Paul M. Thompson, Jose Luis Ambite
Federated learning (FL) enables distributed computation of machine learning models over various disparate, remote data sources, without requiring to transfer any individual data to a centralized location.
no code implementations • 11 May 2022 • Dimitris Stripelis, Umang Gupta, Hamza Saleem, Nikhil Dhinagar, Tanmay Ghai, Rafael Chrysovalantis Anastasiou, Armaghan Asghar, Greg Ver Steeg, Srivatsan Ravi, Muhammad Naveed, Paul M. Thompson, Jose Luis Ambite
Each site trains the neural network over its private data for some time, then shares the neural network parameters (i. e., weights, gradients) with a Federation Controller, which in turn aggregates the local models, sends the resulting community model back to each site, and the process repeats.
no code implementations • 26 Mar 2024 • Hamza Saleem, Amir Ziashahabi, Muhammad Naveed, Salman Avestimehr
In this work, we design and implement new privacy-preserving machine learning protocols for logistic regression and neural network models.