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A Distributed Fair Machine Learning Framework with Private Demographic
  Data Protection

A Distributed Fair Machine Learning Framework with Private Demographic Data Protection

Industrial Conference on Data Mining (IDM), 2019
17 September 2019
Hui Hu
Yijun Liu
Zhen Wang
Chao Lan
    FaMLFedML
ArXiv (abs)PDFHTML

Papers citing "A Distributed Fair Machine Learning Framework with Private Demographic Data Protection"

9 / 9 papers shown
FairJob: A Real-World Dataset for Fairness in Online Systems
FairJob: A Real-World Dataset for Fairness in Online Systems
Mariia Vladimirova
Federico Pavone
Eustache Diemert
412
6
0
03 Jul 2024
Verifiable Fairness: Privacy-preserving Computation of Fairness for
  Machine Learning Systems
Verifiable Fairness: Privacy-preserving Computation of Fairness for Machine Learning Systems
Ehsan Toreini
M. Mehrnezhad
Aad van Moorsel
245
7
0
12 Sep 2023
SoK: Assessing the State of Applied Federated Machine Learning
SoK: Assessing the State of Applied Federated Machine Learning
Tobias Müller
Maximilian Stäbler
Hugo Gascón
Frank Köster
Florian Matthes
242
1
0
03 Aug 2023
Fairguard: Harness Logic-based Fairness Rules in Smart Cities
Fairguard: Harness Logic-based Fairness Rules in Smart CitiesInternational Conference on Internet-of-Things Design and Implementation (IoTDI), 2023
Yiqi Zhao
Ziyan An
Xuqing Gao
Ayan Mukhopadhyay
Meiyi Ma
AI4TS
429
2
0
22 Feb 2023
Unraveling Privacy Risks of Individual Fairness in Graph Neural Networks
Unraveling Privacy Risks of Individual Fairness in Graph Neural NetworksIEEE International Conference on Data Engineering (ICDE), 2023
He Zhang
Lizhen Qu
Shirui Pan
321
19
0
30 Jan 2023
Preserving Fairness in AI under Domain Shift
Preserving Fairness in AI under Domain ShiftJournal of Artificial Intelligence Research (JAIR), 2023
Serban Stan
Mohammad Rostami
223
8
0
29 Jan 2023
Can Querying for Bias Leak Protected Attributes? Achieving Privacy With
  Smooth Sensitivity
Can Querying for Bias Leak Protected Attributes? Achieving Privacy With Smooth SensitivityConference on Fairness, Accountability and Transparency (FAccT), 2022
Faisal Hamman
Jiahao Chen
Sanghamitra Dutta
343
10
0
03 Nov 2022
Fairness-Driven Private Collaborative Machine Learning
Fairness-Driven Private Collaborative Machine Learning
Dana Pessach
Tamir Tassa
E. Shmueli
FedML
241
8
0
29 Sep 2021
Fairness without Demographics through Adversarially Reweighted Learning
Fairness without Demographics through Adversarially Reweighted LearningNeural Information Processing Systems (NeurIPS), 2020
Preethi Lahoti
Alex Beutel
Jilin Chen
Kang Lee
Flavien Prost
Nithum Thain
Xuezhi Wang
Ed H. Chi
FaML
653
385
0
23 Jun 2020
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