Tag: Fairness in Machine Learning

A Simplistic Guide to Using Fairness Criteria in Machine Learning

January 10, 2025

Fairness in Machine Learning is a topic that I have been wanting to better understand for a little while now, and this blog post summarises what I learned from reading the Fairness and Machine Learning (FML) book by Solon Barocas, Moritz Hardt and Arvind Narayanan available at https://fairmlbook.org these past couple of days. (The book … More A Simplistic Guide to Using Fairness Criteria in Machine Learning

Towards Fair and Privacy-Preserving Federated Deep Learning Models

May 24, 2020

My former postdoc Lingjuan Lyu has been working with a few research collaborators on a fair and privacy-preserving federated deep-learning framework and a paper describing the framework has just been published at the IEEE Transactions on Parallel and Distributed Systems. Here’s the paper details: Title: Towards Fair and Privacy-Preserving Federated Deep Models Abstract: The current … More Towards Fair and Privacy-Preserving Federated Deep Learning Models