Addressing Algorithmic Disparity and Performance Inconsistency in Federated Learning

19 August 2021

Jian Liang

Papers citing "Addressing Algorithmic Disparity and Performance Inconsistency in Federated Learning"

45 / 45 papers shown

Title
The Cost of Local and Global Fairness in Federated Learning Yuying Duan Gelei Xu Yiyu Shi Michael Lemmon FedML 44 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
Do We Really Need to Design New Byzantine-robust Aggregation Rules? Minghong Fang Seyedsina Nabavirazavi Zhuqing Liu Wei Sun S. Iyengar Haibo Yang AAML OOD 91 6 0 29 Jan 2025
AFed: Algorithmic Fair Federated Learning Huiqiang Chen Tianqing Zhu Wanlei Zhou Wei Zhao FedML 39 0 0 06 Jan 2025
Review of Mathematical Optimization in Federated Learning Shusen Yang Fangyuan Zhao Zihao Zhou Liang Shi Xuebin Ren Zongben Xu FedML AI4CE 87 0 0 02 Dec 2024
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
Federated Communication-Efficient Multi-Objective Optimization Baris Askin Pranay Sharma Gauri Joshi Carlee Joe-Wong FedML 68 1 0 21 Oct 2024
PFAttack: Stealthy Attack Bypassing Group Fairness in Federated Learning Jiashi Gao Ziwei Wang Xiangyu Zhao Xin Yao Xuetao Wei 25 0 0 09 Oct 2024
FairFML: Fair Federated Machine Learning with a Case Study on Reducing Gender Disparities in Cardiac Arrest Outcome Prediction Siqi Li Qiming Wu Xin Li Di Miao Chuan Hong ... Michael Hao Chen Mengying Yan Yilin Ning M. Ong Nan Liu 33 1 0 07 Oct 2024
Enhancing Group Fairness in Federated Learning through Personalization Yifan Yang Ali Payani Parinaz Naghizadeh Ardabili FedML 40 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 52 3 0 21 Jul 2024
Semi-Variance Reduction for Fair Federated Learning Saber Malekmohammadi Yaoliang Yu FedML 80 1 0 23 Jun 2024
Fair Federated Learning under Domain Skew with Local Consistency and Domain Diversity Yuhang Chen Wenke Huang Mang Ye FedML 51 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 35 5 0 13 Apr 2024
Hyperparameter Optimization for SecureBoost via Constrained Multi-Objective Federated Learning Yan Kang Ziyao Ren Lixin Fan Linghua Yang Yongxin Tong Qiang Yang FedML 45 0 0 06 Apr 2024
Distribution-Free Fair Federated Learning with Small Samples Qichuan Yin Junzhou Huang Huaxiu Yao Linjun Zhang FedML 57 0 0 25 Feb 2024
Federated Fairness without Access to Sensitive Groups Afroditi Papadaki Natalia Martínez Martín Bertrán Guillermo Sapiro Miguel R. D. Rodrigues FedML 40 2 0 22 Feb 2024
AdaFed: Fair Federated Learning via Adaptive Common Descent Direction Shayan Mohajer Hamidi En-Hui Yang FedML 27 11 0 10 Jan 2024
GLOCALFAIR: Jointly Improving Global and Local Group Fairness in Federated Learning Syed Irfan Ali Meerza Luyang Liu Jiaxin Zhang Jian-Dong Liu FedML 31 2 0 07 Jan 2024
Federated Multi-Objective Learning Haibo Yang Zhuqing Liu Jia-Wei Liu Chaosheng Dong Michinari Momma FedML 31 7 0 15 Oct 2023
Mitigating Group Bias in Federated Learning for Heterogeneous Devices Khotso Selialia Yasra Chandio Fatima M. Anwar FedML 42 2 0 13 Sep 2023
Joint Local Relational Augmentation and Global Nash Equilibrium for Federated Learning with Non-IID Data Xinting Liao Chaochao Chen Weiming Liu Pengyang Zhou Huabin Zhu Shuheng Shen Weiqiang Wang Mengling Hu Yanchao Tan Xiaolin Zheng FedML 42 6 0 17 Aug 2023
Communication-Efficient Search under Fully Homomorphic Encryption for Federated Machine Learning Dongfang Zhao FedML 29 1 0 09 Aug 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
SecureBoost Hyperparameter Tuning via Multi-Objective Federated Learning Ziyao Ren Yan Kang Lixin Fan Linghua Yang Yongxin Tong Qiang Yang FedML 50 3 0 20 Jul 2023
Fairness-aware Federated Minimax Optimization with Convergence Guarantee Gerry Windiarto Mohamad Dunda Shenghui Song FedML 30 1 0 10 Jul 2023
Privacy and Fairness in Federated Learning: on the Perspective of Trade-off Huiqiang Chen Tianqing Zhu Tao Zhang Wanlei Zhou Philip S. Yu FedML 34 43 0 25 Jun 2023
Optimizing Privacy, Utility and Efficiency in Constrained Multi-Objective Federated Learning Yan Kang Hanlin Gu Xingxing Tang Yuanqin He Yuzhu Zhang Jinnan He Yuxing Han Lixin Fan Kai Chen Qiang Yang FedML 65 18 0 29 Apr 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 31 47 0 29 Mar 2023
Recent Advances on Federated Learning: A Systematic Survey Bingyan Liu Nuoyan Lv Yuanchun Guo Yawen Li FedML 60 78 0 03 Jan 2023
FedDAR: Federated Domain-Aware Representation Learning Aoxiao Zhong Hao He Zhaolin Ren Na Li Quanzheng Li OOD AI4CE 49 9 0 08 Sep 2022
Federated Graph Machine Learning: A Survey of Concepts, Techniques, and Applications Xingbo Fu Binchi Zhang Yushun Dong Chen Chen Jundong Li FedML OOD AI4CE 40 35 0 24 Jul 2022
A Fair Federated Learning Framework With Reinforcement Learning Yaqi Sun Shijing Si Jianzong Wang Yuhan Dong Z. Zhu Jing Xiao FedML 30 7 0 26 May 2022
PrivFairFL: Privacy-Preserving Group Fairness in Federated Learning Sikha Pentyala Nicola Neophytou A. Nascimento Martine De Cock G. Farnadi 42 17 0 23 May 2022
Local Stochastic Bilevel Optimization with Momentum-Based Variance Reduction Junyi Li Feihu Huang Heng-Chiao Huang FedML 28 27 0 03 May 2022
Fair Federated Learning via Bounded Group Loss Shengyuan Hu Zhiwei Steven Wu Virginia Smith FaML FedML 24 14 0 18 Mar 2022
Towards Multi-Objective Statistically Fair Federated Learning Ninareh Mehrabi Cyprien de Lichy John McKay C. He William Campbell FedML 30 9 0 24 Jan 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
Towards Fairness-Aware Federated Learning Yuxin Shi Han Yu Cyril Leung FedML 21 79 0 02 Nov 2021
Improving Fairness via Federated Learning Yuchen Zeng Hongxu Chen Kangwook Lee FedML 19 60 0 29 Oct 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 48 52 0 17 Sep 2021
Collaboration Equilibrium in Federated Learning Sen Cui Jian Liang Weishen Pan Kun Chen Changshui Zhang Fei Wang FedML 27 23 0 18 Aug 2021
Learning Adversarially Fair and Transferable Representations David Madras Elliot Creager T. Pitassi R. Zemel FaML 233 675 0 17 Feb 2018