Fairness Without Demographics in Human-Centered Federated Learning

30 April 2024

Papers citing "Fairness Without Demographics in Human-Centered Federated Learning"

7 / 7 papers shown

Title
I-MPN: Inductive Message Passing Network for Efficient Human-in-the-Loop Annotation of Mobile Eye Tracking Data Hoang H. Le D. M. Nguyen Omair Shahzad Bhatti Laszlo Kopacsi Thinh P. Ngo Binh T. Nguyen Michael Barz Daniel Sonntag 37 0 0 10 Jun 2024
FedStack: Personalized activity monitoring using stacked federated learning T. Shaik Xiaohui Tao Niall Higgins R. Gururajan Yuefeng Li Xujuan Zhou Usha R. Acharya FedML 13 60 0 27 Sep 2022
How Robust is Your Fairness? Evaluating and Sustaining Fairness under Unseen Distribution Shifts Haotao Wang Junyuan Hong Jiayu Zhou Zhangyang Wang OOD 28 11 0 04 Jul 2022
Pruning has a disparate impact on model accuracy Cuong Tran Ferdinando Fioretto Jung-Eun Kim Rakshit Naidu 32 37 0 26 May 2022
A Systematic Study of Bias Amplification Melissa Hall L. V. D. van der Maaten Laura Gustafson Maxwell Jones Aaron B. Adcock 92 69 0 27 Jan 2022
FedFair: Training Fair Models In Cross-Silo Federated Learning Lingyang Chu Lanjun Wang Yanjie Dong J. Pei Zirui Zhou Yong Zhang FedML 56 40 0 13 Sep 2021
A Survey on Bias and Fairness in Machine Learning Ninareh Mehrabi Fred Morstatter N. Saxena Kristina Lerman Aram Galstyan SyDa FaML 286 4,143 0 23 Aug 2019