Fairness-Driven Private Collaborative Machine Learning

29 September 2021

Papers citing "Fairness-Driven Private Collaborative Machine Learning"

6 / 6 papers shown

Title
A cautionary tale on the cost-effectiveness of collaborative AI in real-world medical applications Francesco Cremonesi Lucia Innocenti Sebastien Ourselin Vicky Goh Michela Antonelli Marco Lorenzi FedML 104 0 0 09 Dec 2024
Deconstructing The Ethics of Large Language Models from Long-standing Issues to New-emerging Dilemmas Chengyuan Deng Yiqun Duan Xin Jin Heng Chang Yijun Tian ... Kuofeng Gao Sihong He Jun Zhuang Lu Cheng Haohan Wang AILaw 43 16 0 08 Jun 2024
The Pursuit of Fairness in Artificial Intelligence Models: A Survey Tahsin Alamgir Kheya Mohamed Reda Bouadjenek Sunil Aryal 28 8 0 26 Mar 2024
Cross-Institutional Transfer Learning for Educational Models: Implications for Model Performance, Fairness, and Equity Joshua Gardner Renzhe Yu Quan Nguyen Christopher A. Brooks René F. Kizilcec FedML 38 14 0 01 May 2023
Achieving Model Fairness in Vertical Federated Learning Changxin Liu Zhenan Fan Zirui Zhou Yang Shi J. Pei Lingyang Chu Yong Zhang FedML 60 12 0 17 Sep 2021
FedFair: Training Fair Models In Cross-Silo Federated Learning Lingyang Chu Lanjun Wang Yanjie Dong J. Pei Zirui Zhou Yong Zhang FedML 58 40 0 13 Sep 2021