Achieving Model Fairness in Vertical Federated Learning

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Achieving Model Fairness in Vertical Federated Learning

17 September 2021

Changxin Liu

Zhenan Fan

Yong Zhang

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Papers citing "Achieving Model Fairness in Vertical Federated Learning"

19 / 19 papers shown

Title
Secure Bilevel Asynchronous Vertical Federated Learning with Backward Updating Qingsong Zhang Bin Gu Cheng Deng Heng-Chiao Huang FedML 43 69 0 01 Mar 2021
Fairness-aware Agnostic Federated Learning Wei Du Depeng Xu Xintao Wu Hanghang Tong FedML 77 130 0 10 Oct 2020
VAFL: a Method of Vertical Asynchronous Federated Learning Tianyi Chen Xiao Jin Yuejiao Sun W. Yin FedML 112 161 0 12 Jul 2020
A Unified Single-loop Alternating Gradient Projection Algorithm for Nonconvex-Concave and Convex-Nonconcave Minimax Problems Zi Xu Hui-Li Zhang Yang Xu Guanghui Lan 72 100 0 03 Jun 2020
Algorithmic Fairness Dana Pessach E. Shmueli FaML 63 390 0 21 Jan 2020
HybridAlpha: An Efficient Approach for Privacy-Preserving Federated Learning Runhua Xu Nathalie Baracaldo Yi Zhou Ali Anwar Heiko Ludwig FedML 59 288 0 12 Dec 2019
Advances and Open Problems in Federated Learning Peter Kairouz H. B. McMahan Brendan Avent A. Bellet M. Bennis ... Zheng Xu Qiang Yang Felix X. Yu Han Yu Sen Zhao FedML AI4CE 259 6,261 0 10 Dec 2019
Fair Regression: Quantitative Definitions and Reduction-based Algorithms Alekh Agarwal Miroslav Dudík Zhiwei Steven Wu FaML 53 247 0 30 May 2019
Agnostic Federated Learning M. Mohri Gary Sivek A. Suresh FedML 136 935 0 01 Feb 2019
SecureBoost: A Lossless Federated Learning Framework Kewei Cheng Tao Fan Yilun Jin Yang Liu Tianjian Chen Dimitrios Papadopoulos Qiang Yang FedML 103 582 0 25 Jan 2019
AsySPA: An Exact Asynchronous Algorithm for Convex Optimization Over Digraphs Jiaqi Zhang Keyou You 44 74 0 13 Aug 2018
A Reductions Approach to Fair Classification Alekh Agarwal A. Beygelzimer Miroslav Dudík John Langford Hanna M. Wallach FaML 227 1,101 0 06 Mar 2018
Empirical Risk Minimization under Fairness Constraints Michele Donini L. Oneto Shai Ben-David John Shawe-Taylor Massimiliano Pontil FaML 78 445 0 23 Feb 2018
Feature-Distributed SVRG for High-Dimensional Linear Classification Gong-Duo Zhang Shen-Yi Zhao Hao Gao Wu-Jun Li 56 17 0 10 Feb 2018
Private federated learning on vertically partitioned data via entity resolution and additively homomorphic encryption Stephen Hardy Wilko Henecka Hamish Ivey-Law Richard Nock Giorgio Patrini Guillaume Smith Brian Thorne FedML 68 536 0 29 Nov 2017
On Fairness and Calibration Geoff Pleiss Manish Raghavan Felix Wu Jon M. Kleinberg Kilian Q. Weinberger FaML 200 879 0 06 Sep 2017
Equality of Opportunity in Supervised Learning Moritz Hardt Eric Price Nathan Srebro FaML 230 4,329 0 07 Oct 2016
Communication-Efficient Learning of Deep Networks from Decentralized Data H. B. McMahan Eider Moore Daniel Ramage S. Hampson Blaise Agüera y Arcas FedML 406 17,486 0 17 Feb 2016
Certifying and removing disparate impact Michael Feldman Sorelle A. Friedler John Moeller C. Scheidegger Suresh Venkatasubramanian FaML 201 1,992 0 11 Dec 2014

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