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2004.10386
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Hierarchically Fair Federated Learning
22 April 2020
Jingfeng Zhang
Cheng Li
A. Robles-Kelly
Mohan Kankanhalli
FedML
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Papers citing
"Hierarchically Fair Federated Learning"
24 / 24 papers shown
Achieving Fairness Across Local and Global Models in Federated Learning
Disha Makhija
Xing Han
Joydeep Ghosh
Yejin Kim
FedML
274
10
0
24 Jun 2024
FedFair^3: Unlocking Threefold Fairness in Federated Learning
Simin Javaherian
Sanjeev Panta
Shelby Williams
Md Sirajul Islam
Li Chen
FedML
262
5
0
29 Jan 2024
AdaFed: Fair Federated Learning via Adaptive Common Descent Direction
Shayan Mohajer Hamidi
En-Hui Yang
FedML
232
15
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
206
4
0
07 Jan 2024
Contribution Evaluation in Federated Learning: Examining Current Approaches
Vasilis Siomos
Jonathan Passerat-Palmbach
FedML
259
4
0
16 Nov 2023
Fairness-Aware Client Selection for Federated Learning
IEEE International Conference on Multimedia and Expo (ICME), 2023
Yuxin Shi
Zelei Liu
Zhuan Shi
Han Yu
FedML
143
40
0
20 Jul 2023
Hierarchical Federated Learning Incentivization for Gas Usage Estimation
Has Sun
Xiaoli Tang
Che-Sheng Yang
Zhenpeng Yu
Xiuli Wang
Qijie Ding
Zengxiang Li
Han Yu
FedML
160
3
0
01 Jul 2023
Exploring Data Redundancy in Real-world Image Classification through Data Selection
Zhenyu Tang
Shaoting Zhang
Xiaosong Wang
158
3
0
25 Jun 2023
Fairness and Privacy-Preserving in Federated Learning: A Survey
Information Fusion (Inf. Fusion), 2023
Taki Hasan Rafi
Faiza Anan Noor
Tahmid Hussain
Dong-Kyu Chae
FedML
359
77
0
14 Jun 2023
FedDebug: Systematic Debugging for Federated Learning Applications
International Conference on Software Engineering (ICSE), 2023
Waris Gill
A. Anwar
Muhammad Ali Gulzar
FedML
288
13
0
09 Jan 2023
Recent Advances on Federated Learning: A Systematic Survey
Neurocomputing (Neurocomputing), 2023
Bingyan Liu
Nuoyan Lv
Yuanchun Guo
Yawen Li
FedML
243
158
0
03 Jan 2023
FOCUS: Fairness via Agent-Awareness for Federated Learning on Heterogeneous Data
Wen-Hsuan Chu
Chulin Xie
Wei Ping
Linyi Li
Lang Yin
Arash Nourian
Hantong Zhao
Yue Liu
FedML
188
13
0
21 Jul 2022
Models of fairness in federated learning
Kate Donahue
Jon M. Kleinberg
FedML
447
12
0
01 Dec 2021
Incentive Mechanisms for Federated Learning: From Economic and Game Theoretic Perspective
IEEE Transactions on Cognitive Communications and Networking (IEEE TCCN), 2021
Xuezhen Tu
Kun Zhu
Nguyen Cong Luong
Dusit Niyato
Yang Zhang
Juan Li
FedML
AI4CE
275
150
0
20 Nov 2021
Towards Fairness-Aware Federated Learning
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2021
Yuxin Shi
Han Yu
Cyril Leung
FedML
328
119
0
02 Nov 2021
Improving Fairness via Federated Learning
Yuchen Zeng
Hongxu Chen
Kangwook Lee
FedML
351
75
0
29 Oct 2021
Improving Fairness for Data Valuation in Horizontal Federated Learning
Zhenan Fan
Huang Fang
Zirui Zhou
Jian Pei
M. Friedlander
Changxin Liu
Yong Zhang
TDI
FedML
206
63
0
19 Sep 2021
GTG-Shapley: Efficient and Accurate Participant Contribution Evaluation in Federated Learning
Zelei Liu
Yuanyuan Chen
Han Yu
Yang Liu
Li-zhen Cui
FedML
TDI
195
174
0
05 Sep 2021
GIFAIR-FL: A Framework for Group and Individual Fairness in Federated Learning
INFORMS Journal on Data Science (INFORMS J. Data Sci.), 2021
Xubo Yue
Maher Nouiehed
Raed Al Kontar
FedML
228
43
0
05 Aug 2021
Is Shapley Value fair? Improving Client Selection for Mavericks in Federated Learning
Jiyue Huang
Chi Hong
L. Chen
Stefanie Roos
FedML
149
12
0
20 Jun 2021
Prototype Guided Federated Learning of Visual Feature Representations
Umberto Michieli
Mete Ozay
FedML
329
43
0
19 May 2021
One for One, or All for All: Equilibria and Optimality of Collaboration in Federated Learning
International Conference on Machine Learning (ICML), 2021
Avrim Blum
Nika Haghtalab
R. L. Phillips
Han Shao
FedML
132
59
0
04 Mar 2021
Towards Personalized Federated Learning
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2021
A. Tan
Han Yu
Li-zhen Cui
Qiang Yang
FedML
AI4CE
697
1,116
0
01 Mar 2021
Efficient Client Contribution Evaluation for Horizontal Federated Learning
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2021
Jie Zhao
Xinghua Zhu
Jianzong Wang
Jing Xiao
FedML
196
39
0
26 Feb 2021
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