FairFed: Enabling Group Fairness in Federated Learning

2 October 2021

Papers citing "FairFed: Enabling Group Fairness in Federated Learning"

50 / 83 papers shown

Title
Mitigating Group-Level Fairness Disparities in Federated Visual Language Models Chaomeng Chen Zitong Yu J. Dong Sen Su L. Shen Shutao Xia Xiaochun Cao FedML VLM 96 0 0 03 May 2025
Learning Heterogeneous Performance-Fairness Trade-offs in Federated Learning Rongguang Ye Ming Tang FedML 48 0 0 30 Apr 2025
Enhancing Federated Learning Through Secure Cluster-Weighted Client Aggregation Kanishka Ranaweera Azadeh Ghari Neiat Xiao Liu Bipasha Kashyap P. Pathirana FedML 40 0 0 29 Mar 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
An Empirical Study of the Impact of Federated Learning on Machine Learning Model Accuracy Haotian Yang Z. Wang Benson Chou Sophie Xu Hao Wang Jingxian Wang Qizhen Zhang FedML 88 0 0 26 Mar 2025
LoGoFair: Post-Processing for Local and Global Fairness in Federated Learning L. Zhang Chaochao Chen Zhongxuan Han Qiyong Zhong Xiaolin Zheng FedML 47 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 59 0 0 19 Mar 2025
Fair Federated Medical Image Classification Against Quality Shift via Inter-Client Progressive State Matching Nannan Wu Zhuo Kuang Zengqiang Yan Ping Wang Li Yu FedML 49 0 0 12 Mar 2025
FLStore: Efficient Federated Learning Storage for non-training workloads Ahmad Faraz Khan Samuel Fountain Ahmed M. Abdelmoniem A. R. Butt A. Anwar FedML 41 0 0 01 Mar 2025
FinP: Fairness-in-Privacy in Federated Learning by Addressing Disparities in Privacy Risk Tianyu Zhao Mahmoud Srewa Salma Elmalaki 83 1 0 25 Feb 2025
Testing for Causal Fairness Jiarun Fu LiZhong Ding Pengqi Li Qiuning Wei Yurong Cheng Xu Chen 39 0 0 18 Feb 2025
AFed: Algorithmic Fair Federated Learning Huiqiang Chen Tianqing Zhu Wanlei Zhou Wei Zhao FedML 26 0 0 06 Jan 2025
Non-IID data in Federated Learning: A Survey with Taxonomy, Metrics, Methods, Frameworks and Future Directions Daniel Gutiérrez David Solans Mikko A. Heikkilä A. Vitaletti Nicolas Kourtellis Aris Anagnostopoulos I. Chatzigiannakis OOD 84 0 0 19 Nov 2024
WassFFed: Wasserstein Fair Federated Learning Zhongxuan Han L. Zhang C. L. Philip Chen Xiaolin Zheng Fei Zheng Yuyuan Li Jianwei Yin FedML 32 0 0 11 Nov 2024
Federated Learning with Relative Fairness Shogo H. Nakakita Tatsuya Kaneko Shinya Takamaeda-Yamazaki Masaaki Imaizumi FedML 21 2 0 02 Nov 2024
FuseFL: One-Shot Federated Learning through the Lens of Causality with Progressive Model Fusion Zhenheng Tang Yonggang Zhang Peijie Dong Y. Cheung Amelie Chi Zhou Bo Han Xiaowen Chu FedML MoMe AI4CE 45 6 0 27 Oct 2024
Equitable Federated Learning with Activation Clustering Antesh Upadhyay Abolfazl Hashemi FedML 21 0 0 24 Oct 2024
PFAttack: Stealthy Attack Bypassing Group Fairness in Federated Learning Jiashi Gao Ziwei Wang Xiangyu Zhao Xin Yao Xuetao Wei 18 0 0 09 Oct 2024
Fair Decentralized Learning Sayan Biswas Anne-Marie Kermarrec Rishi Sharma Thibaud Trinca M. Vos FedML 32 0 0 03 Oct 2024
EAB-FL: Exacerbating Algorithmic Bias through Model Poisoning Attacks in Federated Learning Syed Irfan Ali Meerza Jian-Dong Liu 27 2 0 02 Oct 2024
Using Synthetic Data to Mitigate Unfairness and Preserve Privacy in Collaborative Machine Learning Chia-Yuan Wu Frank E. Curtis Daniel P. Robinson DD 28 0 0 14 Sep 2024
Federated Fairness Analytics: Quantifying Fairness in Federated Learning Oscar Dilley Juan Marcelo Parra Ullauri Rasheed Hussain Dimitra Simeonidou FedML 28 0 0 15 Aug 2024
Improving Large Language Model (LLM) fidelity through context-aware grounding: A systematic approach to reliability and veracity Wrick Talukdar Anjanava Biswas KELM 25 5 0 07 Aug 2024
UniFed: A Universal Federation of a Mixture of Highly Heterogeneous Medical Image Classification Tasks Atefe Hassani I. Rekik FedML 27 0 0 29 Jul 2024
Enhancing Group Fairness in Federated Learning through Personalization Yifan Yang Ali Payani Parinaz Naghizadeh Ardabili FedML 24 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 39 3 0 21 Jul 2024
Large Language Models for Wearable Sensor-Based Human Activity Recognition, Health Monitoring, and Behavioral Modeling: A Survey of Early Trends, Datasets, and Challenges Emilio Ferrara LM&MA 32 13 0 09 Jul 2024
Achieving Fairness Across Local and Global Models in Federated Learning Disha Makhija Xing Han Joydeep Ghosh Yejin Kim FedML 35 5 0 24 Jun 2024
Data Quality in Edge Machine Learning: A State-of-the-Art Survey M. D. Belgoumri Mohamed Reda Bouadjenek Sunil Aryal Hakim Hacid 19 1 0 01 Jun 2024
Post-Fair Federated Learning: Achieving Group and Community Fairness in Federated Learning via Post-processing Yuying Duan Yijun Tian Nitesh V. Chawla Michael Lemmon FedML 21 2 0 28 May 2024
Fair Federated Learning under Domain Skew with Local Consistency and Domain Diversity Yuhang Chen Wenke Huang Mang Ye FedML 38 16 0 26 May 2024
Advances in Robust Federated Learning: A Survey with Heterogeneity Considerations Chuan Chen Tianchi Liao Xiaojun Deng Zihou Wu Sheng Huang Zibin Zheng FedML 36 2 0 16 May 2024
Fairness Without Demographics in Human-Centered Federated Learning Shaily Roy Harshit Sharma Asif Salekin 33 2 0 30 Apr 2024
From Optimization to Generalization: Fair Federated Learning against Quality Shift via Inter-Client Sharpness Matching Nannan Wu Zhuo Kuang Zengqiang Yan Li Yu FedML 21 4 0 27 Apr 2024
PraFFL: A Preference-Aware Scheme in Fair Federated Learning Rongguang Ye Wei-Bin Kou Ming Tang FedML 31 4 0 13 Apr 2024
Not All Federated Learning Algorithms Are Created Equal: A Performance Evaluation Study Gustav A. Baumgart Jaemin Shin Ali Payani Myungjin Lee Ramana Rao Kompella FedML 19 6 0 26 Mar 2024
Distribution-Free Fair Federated Learning with Small Samples Qichuan Yin Junzhou Huang Huaxiu Yao Linjun Zhang FedML 44 0 0 25 Feb 2024
FedLPS: Heterogeneous Federated Learning for Multiple Tasks with Local Parameter Sharing Yongzhe Jia Xuyun Zhang Amin Beheshti Wanchun Dou FedML 19 5 0 13 Feb 2024
Unveiling Group-Specific Distributed Concept Drift: A Fairness Imperative in Federated Learning Teresa Salazar Joao Gama Helder Araújo Pedro Abreu FaML FedML 20 2 0 12 Feb 2024
Federated Unlearning: a Perspective of Stability and Fairness Jiaqi Shao Tao Lin Xuanyu Cao Bing Luo MU 23 7 0 02 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 11 2 0 07 Jan 2024
Distributed client selection with multi-objective in federated learning assisted Internet of Vehicles Narisu Cha Long Chang 20 0 0 06 Jan 2024
Towards Fair Graph Federated Learning via Incentive Mechanisms Chenglu Pan Jiarong Xu Yue Yu Ziqi Yang Qingbiao Wu Chunping Wang Lei Chen Yang Yang FedML 11 8 0 20 Dec 2023
Multi-dimensional Fair Federated Learning Cong Su Guoxian Yu Jun Wang Hui Li Qingzhong Li Han Yu FedML 17 3 0 09 Dec 2023
On the Effect of Defections in Federated Learning and How to Prevent Them Minbiao Han Kumar Kshitij Patel Han Shao Lingxiao Wang FedML 33 4 0 28 Nov 2023
Equipping Federated Graph Neural Networks with Structure-aware Group Fairness Nan Cui Xiuling Wang Wendy Hui Wang Violet Chen Yue Ning FedML 9 3 0 18 Oct 2023
Mitigating Group Bias in Federated Learning for Heterogeneous Devices Khotso Selialia Yasra Chandio Fatima M. Anwar FedML 20 2 0 13 Sep 2023
Bias Propagation in Federated Learning Hong Chang Reza Shokri FedML 16 10 0 05 Sep 2023
Advancing Personalized Federated Learning: Group Privacy, Fairness, and Beyond Filippo Galli Kangsoo Jung Sayan Biswas C. Palamidessi Tommaso Cucinotta FedML 13 10 0 01 Sep 2023
Demystifying Local and Global Fairness Trade-offs in Federated Learning Using Partial Information Decomposition Faisal Hamman Sanghamitra Dutta FedML 25 6 0 21 Jul 2023