activity
20222026
most citedRemembering Unequally: Global and Disciplinary Bias in LLM Reconstruction of Scholarly Coauthor Lists

4 citations · 9 across the 8 of their papers we have counts for

collaborators
Showing cs.CYShow all

1 paper · 1 filter

cs.CY2022

Caring Without Sharing: A Federated Learning Crowdsensing Framework for Diversifying Representation of Cities

Michael Cho, Afra Mashhadi

Mobile Crowdsensing has become main stream paradigm for researchers to collect behavioral data from citizens in large scales. This valuable data can be leveraged to create centrali…