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2110.00857
Cited By
FairFed: Enabling Group Fairness in Federated Learning
2 October 2021
Yahya H. Ezzeldin
Shen Yan
Chaoyang He
Emilio Ferrara
A. Avestimehr
FedML
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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
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