v1v2 (latest)

Enforcing fairness in private federated learning via the modified method of differential multipliers

17 September 2021

Borja Rodríguez Gálvez

Rogier van Dalen

Papers citing "Enforcing fairness in private federated learning via the modified method of differential multipliers"

37 / 37 papers shown

Title
Fairness in Federated Learning: Fairness for Whom? Afaf Taik Khaoula Chehbouni G. Farnadi FedML 189 1 0 27 May 2025
Mitigating Group-Level Fairness Disparities in Federated Visual Language Models Chaomeng Chen Zitong Yu Jin Song Dong Sen Su Linlin Shen Shutao Xia Simeng Qin FedML VLM 918 0 0 03 May 2025
RESFL: An Uncertainty-Aware Framework for Responsible Federated Learning by Balancing Privacy, Fairness and Utility in Autonomous Vehicles Dawood Wasif T. Moore Jin-Hee Cho 217 1 0 20 Mar 2025
pFedFair: Towards Optimal Group Fairness-Accuracy Trade-off in Heterogeneous Federated Learning Haoyu Lei Shizhan Gong Qi Dou Farzan Farnia FedML 318 2 0 19 Mar 2025
AFed: Algorithmic Fair Federated LearningIEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), 2025 Huiqiang Chen Tianqing Zhu Wanlei Zhou Wei Zhao FedML 235 5 0 06 Jan 2025
EAB-FL: Exacerbating Algorithmic Bias through Model Poisoning Attacks in Federated LearningInternational Joint Conference on Artificial Intelligence (IJCAI), 2024 Syed Irfan Ali Meerza Jian-Dong Liu 210 6 0 02 Oct 2024
Federated Fairness Analytics: Quantifying Fairness in Federated Learning Oscar Dilley Juan Marcelo Parra Ullauri Rasheed Hussain Dimitra Simeonidou FedML 193 4 0 15 Aug 2024
Friends in Unexpected Places: Enhancing Local Fairness in Federated Learning through Clustering Yifan Yang Ali Payani Parinaz Naghizadeh Ardabili FedML 353 0 0 27 Jul 2024
PUFFLE: Balancing Privacy, Utility, and Fairness in Federated Learning Luca Corbucci Mikko A. Heikkilä David Solans Noguero Anna Monreale Nicolas Kourtellis FedML 368 6 0 21 Jul 2024
Achieving Fairness Across Local and Global Models in Federated Learning Disha Makhija Xing Han Joydeep Ghosh Yejin Kim FedML 244 10 0 24 Jun 2024
Linkage on Security, Privacy and Fairness in Federated Learning: New Balances and New Perspectives Linlin Wang Tianqing Zhu Wanlei Zhou Philip S. Yu 231 3 0 16 Jun 2024
A Unified View of Group Fairness Tradeoffs Using Partial Information DecompositionInternational Symposium on Information Theory (ISIT), 2024 Faisal Hamman Sanghamitra Dutta 208 3 0 07 Jun 2024
Differentially Private Clustered Federated Learning Saber Malekmohammadi Afaf Taik G. Farnadi FedML 317 2 0 29 May 2024
Post-Fair Federated Learning: Achieving Group and Community Fairness in Federated Learning via Post-processing Yuying Duan Yijun Tian Nitesh Chawla Michael Lemmon FedML 312 6 0 28 May 2024
PraFFL: A Preference-Aware Scheme in Fair Federated Learning Rongguang Ye Wei-Bin Kou Ming Tang FedML 357 6 0 13 Apr 2024
pfl-research: simulation framework for accelerating research in Private Federated LearningNeural Information Processing Systems (NeurIPS), 2024 Filip Granqvist Congzheng Song Áine Cahill Rogier van Dalen Martin Pelikan Yi Sheng Chan Xiaojun Feng Natarajan Krishnaswami Vojta Jina Mona Chitnis FedML 212 12 0 09 Apr 2024
Distribution-Free Fair Federated Learning with Small Samples Qichuan Yin Junzhou Huang Huaxiu Yao Linjun Zhang FedML 335 1 0 25 Feb 2024
Federated Fairness without Access to Sensitive Groups Afroditi Papadaki Natalia Martínez Martín Bertrán Guillermo Sapiro Miguel R. D. Rodrigues FedML 198 3 0 22 Feb 2024
Trust the Process: Zero-Knowledge Machine Learning to Enhance Trust in Generative AI Interactions Bianca-Mihaela Ganescu Jonathan Passerat-Palmbach SyDa 118 16 0 09 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 190 4 0 07 Jan 2024
Multi-dimensional Fair Federated LearningAAAI Conference on Artificial Intelligence (AAAI), 2023 Cong Su Guoxian Yu Jun Wang Hui Li Qingzhong Li Han Yu FedML 198 8 0 09 Dec 2023
FedGeo: Privacy-Preserving User Next Location Prediction with Federated Learning Chung Park Taekyoon Choi Taesan Kim Mincheol Cho Junui Hong Minsung Choi Jaegul Choo FedML 158 6 0 06 Dec 2023
Federated Learning with Convex Global and Local Constraints Chuan He Le Peng Ju Sun FedML 306 2 0 16 Oct 2023
Mitigating Group Bias in Federated Learning for Heterogeneous DevicesConference on Fairness, Accountability and Transparency (FAccT), 2023 Khotso Selialia Yasra Chandio Fatima M. Anwar FedML 327 7 0 13 Sep 2023
Demystifying Local and Global Fairness Trade-offs in Federated Learning Using Partial Information Decomposition Faisal Hamman Sanghamitra Dutta FedML 276 14 0 21 Jul 2023
Heterogeneous Federated Learning: State-of-the-art and Research ChallengesACM Computing Surveys (ACM Comput. Surv.), 2023 Mang Ye Xiuwen Fang Bo Du PongChi Yuen Dacheng Tao FedML AAML 456 452 0 20 Jul 2023
Fairness-aware Federated Minimax Optimization with Convergence GuaranteeConference on Algebraic Informatics (CAI), 2023 Gerry Windiarto Mohamad Dunda Shenghui Song FedML 285 2 0 10 Jul 2023
Privacy and Fairness in Federated Learning: on the Perspective of Trade-offACM Computing Surveys (ACM Comput. Surv.), 2023 Huiqiang Chen Tianqing Zhu Tao Zhang Wanlei Zhou Philip S. Yu FedML 220 70 0 25 Jun 2023
Fairness and Privacy-Preserving in Federated Learning: A SurveyInformation Fusion (Inf. Fusion), 2023 Taki Hasan Rafi Faiza Anan Noor Tahmid Hussain Dong-Kyu Chae FedML 346 75 0 14 Jun 2023
Mitigating Group Bias in Federated Learning: Beyond Local Fairness G. Wang Ali Payani Myungjin Lee Ramana Rao Kompella FedML 149 14 0 17 May 2023
Fair Federated Medical Image Segmentation via Client Contribution EstimationComputer Vision and Pattern Recognition (CVPR), 2023 Meirui Jiang H. Roth Wenqi Li Dong Yang Can Zhao V. Nath Daguang Xu Qianming Dou Ziyue Xu FedML 172 75 0 29 Mar 2023
FedDAR: Federated Domain-Aware Representation LearningInternational Conference on Learning Representations (ICLR), 2022 Aoxiao Zhong Hao He Tongzheng Ren Na Li Shijie Zhao OOD AI4CE 254 13 0 08 Sep 2022
PrivFairFL: Privacy-Preserving Group Fairness in Federated Learning Sikha Pentyala Nicola Neophytou A. Nascimento Martine De Cock G. Farnadi 185 23 0 23 May 2022
Fair Federated Learning via Bounded Group Loss Shengyuan Hu Zhiwei Steven Wu Virginia Smith FaML FedML 303 16 0 18 Mar 2022
Minimax Demographic Group Fairness in Federated LearningConference on Fairness, Accountability and Transparency (FAccT), 2022 Afroditi Papadaki Natalia Martínez Martín Bertrán Guillermo Sapiro Miguel R. D. Rodrigues FaML FedML 171 51 0 20 Jan 2022
Improving Fairness via Federated Learning Yuchen Zeng Hongxu Chen Kangwook Lee FedML 332 74 0 29 Oct 2021
FairFed: Enabling Group Fairness in Federated Learning Yahya H. Ezzeldin Shen Yan Chaoyang He Emilio Ferrara A. Avestimehr FedML 388 251 0 02 Oct 2021