Improving Fairness via Federated Learning

29 October 2021

Papers citing "Improving Fairness via Federated Learning"

42 / 42 papers shown

Title
Learning Heterogeneous Performance-Fairness Trade-offs in Federated Learning Rongguang Ye Ming Tang FedML 48 0 0 30 Apr 2025
The Cost of Local and Global Fairness in Federated Learning Yuying Duan Gelei Xu Yiyu Shi Michael Lemmon FedML 39 0 0 27 Mar 2025
LoGoFair: Post-Processing for Local and Global Fairness in Federated Learning L. Zhang Chaochao Chen Zhongxuan Han Qiyong Zhong Xiaolin Zheng FedML 63 0 0 21 Mar 2025
pFedFair: Towards Optimal Group Fairness-Accuracy Trade-off in Heterogeneous Federated Learning Haoyu Lei Shizhan Gong Qi Dou Farzan Farnia FedML 64 0 0 19 Mar 2025
Towards Trustworthy Federated Learning Alina Basharat Yijun Bian Ping Xu Z. Tian FedML 67 0 0 05 Mar 2025
AFed: Algorithmic Fair Federated Learning Huiqiang Chen Tianqing Zhu Wanlei Zhou Wei Zhao FedML 29 0 0 06 Jan 2025
WassFFed: Wasserstein Fair Federated Learning Zhongxuan Han L. Zhang C. L. Philip Chen Xiaolin Zheng Fei Zheng Yuyuan Li Jianwei Yin FedML 45 0 0 11 Nov 2024
EAB-FL: Exacerbating Algorithmic Bias through Model Poisoning Attacks in Federated Learning Syed Irfan Ali Meerza Jian-Dong Liu 35 2 0 02 Oct 2024
Oh the Prices You'll See: Designing a Fair Exchange System to Mitigate Personalized Pricing Aditya Karan Naina Balepur Hari Sundaram 15 0 0 04 Sep 2024
Federated Fairness Analytics: Quantifying Fairness in Federated Learning Oscar Dilley Juan Marcelo Parra Ullauri Rasheed Hussain Dimitra Simeonidou FedML 39 0 0 15 Aug 2024
Enhancing Group Fairness in Federated Learning through Personalization Yifan Yang Ali Payani Parinaz Naghizadeh Ardabili FedML 37 0 0 27 Jul 2024
Achieving Fairness Across Local and Global Models in Federated Learning Disha Makhija Xing Han Joydeep Ghosh Yejin Kim FedML 37 5 0 24 Jun 2024
Fair Federated Learning under Domain Skew with Local Consistency and Domain Diversity Yuhang Chen Wenke Huang Mang Ye FedML 40 16 0 26 May 2024
Fairness Without Demographics in Human-Centered Federated Learning Shaily Roy Harshit Sharma Asif Salekin 51 2 0 30 Apr 2024
PraFFL: A Preference-Aware Scheme in Fair Federated Learning Rongguang Ye Wei-Bin Kou Ming Tang FedML 33 4 0 13 Apr 2024
Distribution-Free Fair Federated Learning with Small Samples Qichuan Yin Junzhou Huang Huaxiu Yao Linjun Zhang FedML 54 0 0 25 Feb 2024
GLOCALFAIR: Jointly Improving Global and Local Group Fairness in Federated Learning Syed Irfan Ali Meerza Luyang Liu Jiaxin Zhang Jian-Dong Liu FedML 19 2 0 07 Jan 2024
Multi-dimensional Fair Federated Learning Cong Su Guoxian Yu Jun Wang Hui Li Qingzhong Li Han Yu FedML 27 3 0 09 Dec 2023
Equipping Federated Graph Neural Networks with Structure-aware Group Fairness Nan Cui Xiuling Wang Wendy Hui Wang Violet Chen Yue Ning FedML 19 3 0 18 Oct 2023
Mitigating Group Bias in Federated Learning for Heterogeneous Devices Khotso Selialia Yasra Chandio Fatima M. Anwar FedML 25 2 0 13 Sep 2023
Bias Propagation in Federated Learning Hong Chang Reza Shokri FedML 16 10 0 05 Sep 2023
Demystifying Local and Global Fairness Trade-offs in Federated Learning Using Partial Information Decomposition Faisal Hamman Sanghamitra Dutta FedML 25 11 0 21 Jul 2023
Fairness-aware Federated Minimax Optimization with Convergence Guarantee Gerry Windiarto Mohamad Dunda Shenghui Song FedML 30 1 0 10 Jul 2023
Fairness and Privacy-Preserving in Federated Learning: A Survey Taki Hasan Rafi Faiza Anan Noor Tahmid Hussain Dong-Kyu Chae FedML 35 39 0 14 Jun 2023
SimFBO: Towards Simple, Flexible and Communication-efficient Federated Bilevel Learning Yifan Yang Peiyao Xiao Kaiyi Ji FedML 24 14 0 30 May 2023
Improving Fairness in AI Models on Electronic Health Records: The Case for Federated Learning Methods Raphael Poulain Mirza Farhan Bin Tarek Rahmatollah Beheshti FedML 19 20 0 19 May 2023
Mitigating Group Bias in Federated Learning: Beyond Local Fairness G. Wang Ali Payani Myungjin Lee Ramana Rao Kompella FedML 35 8 0 17 May 2023
Fair Federated Medical Image Segmentation via Client Contribution Estimation Meirui Jiang H. Roth Wenqi Li Dong Yang Can Zhao V. Nath Daguang Xu Qianming Dou Ziyue Xu FedML 28 47 0 29 Mar 2023
Achieving Linear Speedup in Non-IID Federated Bilevel Learning Minhui Huang Dewei Zhang Kaiyi Ji FedML 27 18 0 10 Feb 2023
Fairness in Federated Learning via Core-Stability Bhaskar Chaudhury Linyi Li Mintong Kang Bo-wen Li R. Mehta FedML 20 28 0 03 Nov 2022
FAIR-FATE: Fair Federated Learning with Momentum Teresa Salazar Miguel X. Fernandes Helder Araújo Pedro Abreu FedML 32 18 0 27 Sep 2022
FedDAR: Federated Domain-Aware Representation Learning Aoxiao Zhong Hao He Zhaolin Ren Na Li Quanzheng Li OOD AI4CE 29 9 0 08 Sep 2022
Fair Federated Learning via Bounded Group Loss Shengyuan Hu Zhiwei Steven Wu Virginia Smith FaML FedML 24 14 0 18 Mar 2022
Minimax Demographic Group Fairness in Federated Learning Afroditi Papadaki Natalia Martínez Martín Bertrán Guillermo Sapiro Miguel R. D. Rodrigues FaML FedML 16 43 0 20 Jan 2022
Models of fairness in federated learning Kate Donahue Jon M. Kleinberg FedML 35 9 0 01 Dec 2021
Federated Gaussian Process: Convergence, Automatic Personalization and Multi-fidelity Modeling Xubo Yue Raed Al Kontar FedML 49 9 0 28 Nov 2021
The Internet of Federated Things (IoFT): A Vision for the Future and In-depth Survey of Data-driven Approaches for Federated Learning Raed Al Kontar Naichen Shi Xubo Yue Seokhyun Chung E. Byon ... C. Okwudire Garvesh Raskutti R. Saigal Karandeep Singh Ye Zhisheng FedML 36 50 0 09 Nov 2021
FairFed: Enabling Group Fairness in Federated Learning Yahya H. Ezzeldin Shen Yan Chaoyang He Emilio Ferrara A. Avestimehr FedML 33 197 0 02 Oct 2021
Fairness-Driven Private Collaborative Machine Learning Dana Pessach Tamir Tassa E. Shmueli FedML 27 7 0 29 Sep 2021
Enforcing fairness in private federated learning via the modified method of differential multipliers Borja Rodríguez Gálvez Filip Granqvist Rogier van Dalen M. Seigel FedML 45 52 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 56 40 0 13 Sep 2021
F3: Fair and Federated Face Attribute Classification with Heterogeneous Data Samhita Kanaparthy Manisha Padala Sankarshan Damle Ravi Kiran Sarvadevabhatla Sujit Gujar CVBM 21 2 0 06 Sep 2021