FairFed: Enabling Group Fairness in Federated Learning

2 October 2021

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

33 / 83 papers shown

Title
DBFed: Debiasing Federated Learning Framework based on Domain-Independent Jiale Li Zhixin Li Yibo Wang Yao Li Lei Wang FedML 14 0 0 10 Jul 2023
Fairness-aware Federated Minimax Optimization with Convergence Guarantee Gerry Windiarto Mohamad Dunda Shenghui Song FedML 16 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 22 43 0 25 Jun 2023
Fairness and Privacy-Preserving in Federated Learning: A Survey Taki Hasan Rafi Faiza Anan Noor Tahmid Hussain Dong-Kyu Chae FedML 27 39 0 14 Jun 2023
FedVal: Different good or different bad in federated learning Viktor Valadi Xinchi Qiu Pedro Gusmão Nicholas D. Lane Mina Alibeigi FedML AAML 6 2 0 06 Jun 2023
On Knowledge Editing in Federated Learning: Perspectives, Challenges, and Future Directions Leijie Wu Song Guo Junxiao Wang Zicong Hong Jie M. Zhang Jingren Zhou KELM 32 4 0 02 Jun 2023
Fair Differentially Private Federated Learning Framework Ayush K. Varshney Sonakshi Garg Arka P. Ghosh Sargam Gupta FedML 13 0 0 23 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 30 8 0 17 May 2023
Should ChatGPT be Biased? Challenges and Risks of Bias in Large Language Models Emilio Ferrara SILM 17 247 0 07 Apr 2023
An Empirical Analysis of Fairness Notions under Differential Privacy Anderson Santana de Oliveira Caelin Kaplan Khawla Mallat Tanmay Chakraborty FedML 8 7 0 06 Feb 2023
Federated Analytics: A survey A. Elkordy Yahya H. Ezzeldin Shanshan Han Sharad Sharma Chaoyang He S. Mehrotra Salman Avestimehr FedML 11 26 0 02 Feb 2023
FedGRec: Federated Graph Recommender System with Lazy Update of Latent Embeddings Junyi Li Heng-Chiao Huang FedML 13 6 0 25 Oct 2022
FAIR-FATE: Fair Federated Learning with Momentum Teresa Salazar Miguel X. Fernandes Helder Araújo Pedro Abreu FedML 17 18 0 27 Sep 2022
Federated Learning for Digital Twin-Based Vehicular Networks: Architecture and Challenges L. U. Khan Ehzaz Mustafa Junaid Shuja Faisal Rehman Kashif Bilal Zhu Han C. Hong 13 28 0 10 Aug 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 21 35 0 24 Jul 2022
Bias Mitigation for Machine Learning Classifiers: A Comprehensive Survey Max Hort Zhenpeng Chen Jie M. Zhang Mark Harman Federica Sarro FaML AI4CE 26 159 0 14 Jul 2022
"You Can't Fix What You Can't Measure": Privately Measuring Demographic Performance Disparities in Federated Learning Marc Juárez Aleksandra Korolova FedML 28 9 0 24 Jun 2022
PrivFairFL: Privacy-Preserving Group Fairness in Federated Learning Sikha Pentyala Nicola Neophytou A. Nascimento Martine De Cock G. Farnadi 28 17 0 23 May 2022
E2FL: Equal and Equitable Federated Learning Hamid Mozaffari Amir Houmansadr FedML 6 10 0 20 May 2022
Local Stochastic Bilevel Optimization with Momentum-Based Variance Reduction Junyi Li Feihu Huang Heng-Chiao Huang FedML 19 27 0 03 May 2022
Reward Systems for Trustworthy Medical Federated Learning Konstantin D. Pandl Florian Leiser Scott Thiebes A. Sunyaev OOD FedML 13 7 0 01 May 2022
Fair Federated Learning via Bounded Group Loss Shengyuan Hu Zhiwei Steven Wu Virginia Smith FaML FedML 17 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
Survey on Federated Learning Threats: concepts, taxonomy on attacks and defences, experimental study and challenges Nuria Rodríguez-Barroso Daniel Jiménez López M. V. Luzón Francisco Herrera Eugenio Martínez-Cámara FedML 24 210 0 20 Jan 2022
FedCV: A Federated Learning Framework for Diverse Computer Vision Tasks Chaoyang He Alay Dilipbhai Shah Zhenheng Tang Adarshan Naiynar Sivashunmugam Keerti Bhogaraju Mita Shimpi Li Shen X. Chu Mahdi Soltanolkotabi Salman Avestimehr VLM FedML 24 68 0 22 Nov 2021
Edge-Native Intelligence for 6G Communications Driven by Federated Learning: A Survey of Trends and Challenges Mohammad M. Al-Quraan Lina S. Mohjazi Lina Bariah A. Centeno A. Zoha Sami Muhaidat Mérouane Debbah Muhammad Ali Imran 16 62 0 14 Nov 2021
Improving Fairness via Federated Learning Yuchen Zeng Hongxu Chen Kangwook Lee FedML 8 60 0 29 Oct 2021
LightSecAgg: a Lightweight and Versatile Design for Secure Aggregation in Federated Learning Jinhyun So Chaoyang He Chien-Sheng Yang Songze Li Qian-long Yu Ramy E. Ali Başak Güler Salman Avestimehr FedML 55 163 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 36 51 0 17 Sep 2021
A Field Guide to Federated Optimization Jianyu Wang Zachary B. Charles Zheng Xu Gauri Joshi H. B. McMahan ... Mi Zhang Tong Zhang Chunxiang Zheng Chen Zhu Wennan Zhu FedML 173 410 0 14 Jul 2021
Emerging Trends in Federated Learning: From Model Fusion to Federated X Learning Shaoxiong Ji Yue Tan Teemu Saravirta Zhiqin Yang Yixin Liu Lauri Vasankari Shirui Pan Guodong Long A. Walid FedML 21 76 0 25 Feb 2021
FedML: A Research Library and Benchmark for Federated Machine Learning Chaoyang He Songze Li Jinhyun So Xiao Zeng Mi Zhang ... Yang Liu Ramesh Raskar Qiang Yang M. Annavaram Salman Avestimehr FedML 162 563 0 27 Jul 2020