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2011.01783
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An Efficiency-boosting Client Selection Scheme for Federated Learning with Fairness Guarantee
3 November 2020
Tiansheng Huang
Weiwei Lin
Wentai Wu
Ligang He
Keqin Li
Albert Y. Zomaya
FedML
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Papers citing
"An Efficiency-boosting Client Selection Scheme for Federated Learning with Fairness Guarantee"
50 / 64 papers shown
Edge AI in Highly Volatile Environments: Is Fairness Worth the Accuracy Trade-off?
Obaidullah Zaland
Feras M. Awaysheh
Sawsan Al Zubi
Abdul Rahman Safi
Monowar Bhuyan
AAML
149
0
0
03 Nov 2025
On the Regularity and Fairness of Combinatorial Multi-Armed Bandit
Xiaoyi Wu
Bin Li
FaML
335
0
0
15 Sep 2025
Assortment of Attention Heads: Accelerating Federated PEFT with Head Pruning and Strategic Client Selection
Yeshwanth Venkatesha
Souvik Kundu
Priyadarshini Panda
219
1
0
31 May 2025
Fairness in Federated Learning: Fairness for Whom?
Afaf Taik
Khaoula Chehbouni
G. Farnadi
FedML
264
2
0
27 May 2025
Byzantine-Resilient Over-the-Air Federated Learning under Zero-Trust Architecture
IEEE Journal on Selected Areas in Communications (JSAC), 2025
Jiacheng Yao
Wei Shi
Wei Xu
Zhaohui Yang
A. L. Swindlehurst
Dusit Niyato
325
6
0
24 Mar 2025
Sense4FL: Vehicular Crowdsensing Enhanced Federated Learning for Object Detection in Autonomous Driving
Yanan Ma
Senkang Hu
Zhengru Fang
Yun Ji
Yiqin Deng
Yuguang Fang
379
1
0
22 Mar 2025
PAUSE: Low-Latency and Privacy-Aware Active User Selection for Federated Learning
Ori Peleg
Natalie Lang
Stefano Rini
Stefano Rini
Nir Shlezinger
Kobi Cohen
FedML
502
0
0
17 Mar 2025
Drift-Aware Federated Learning: A Causal Perspective
Yunjie Fang
Sheng Wu
Tao Yang
X. Wu
Bo Hu
FedML
347
1
0
13 Mar 2025
MAB-Based Channel Scheduling for Asynchronous Federated Learning in Non-Stationary Environments
Hui Yuan
Yubo Yang
Tao Yang
X. Wu
Ziyu Guo
Bo Hu
435
0
0
03 Mar 2025
Communication-Efficient Device Scheduling for Federated Learning Using Lyapunov Optimization
Jake B. Perazzone
Maroun Touma
Mingyue Ji
Kevin S. Chan
FedML
464
3
0
01 Mar 2025
FedSPD: A Soft-clustering Approach for Personalized Decentralized Federated Learning
Conference on Uncertainty in Artificial Intelligence (UAI), 2024
I-Cheng Lin
Osman Yagan
Carlee Joe-Wong
FedML
290
5
0
24 Oct 2024
Enhancing Federated Learning Convergence with Dynamic Data Queue and Data Entropy-driven Participant Selection
IEEE Internet of Things Journal (IEEE IoT J.), 2024
Charuka Herath
Xiaolan Liu
S. Lambotharan
Y. Rahulamathavan
FedML
254
10
0
23 Oct 2024
Cyber Attacks Prevention Towards Prosumer-based EV Charging Stations: An Edge-assisted Federated Prototype Knowledge Distillation Approach
IEEE Transactions on Network and Service Management (TNSM), 2024
Luyao Zou
Quang Hieu Vo
Kitae Kim
Huy Q. Le
Chu Myaet Thwal
Chaoning Zhang
Choong Seon Hong
309
6
0
17 Oct 2024
A Green Multi-Attribute Client Selection for Over-The-Air Federated Learning: A Grey-Wolf-Optimizer Approach
ACM Transactions on Modeling and Performance Evaluation of Computing Systems (TOMPECS), 2024
Maryam Ben Driss
Essaid Sabir
H. Elbiaze
Abdoulaye Baniré Diallo
M. Sadik
162
3
0
16 Sep 2024
FedMRL: Data Heterogeneity Aware Federated Multi-agent Deep Reinforcement Learning for Medical Imaging
Pranab Sahoo
Ashutosh Tripathi
Sriparna Saha
S. Mondal
248
8
0
08 Jul 2024
A Survey on Federated Analytics: Taxonomy, Enabling Techniques, Applications and Open Issues
Zibo Wang
Haichao Ji
Yifei Zhu
Dan Wang
Zhu Han
529
5
0
19 Apr 2024
From Learning to Analytics: Improving Model Efficacy with Goal-Directed Client Selection
Jingwen Tong
Zhenzhen Chen
Liqun Fu
Jun Zhang
Zhu Han
FedML
261
1
0
30 Mar 2024
A Comprehensive Survey of Federated Transfer Learning: Challenges, Methods and Applications
Wei Guo
Fuzhen Zhuang
Qi. Wang
Yiqi Tong
Jin Dong
FedML
361
59
0
03 Mar 2024
Distribution-Free Fair Federated Learning with Small Samples
Qichuan Yin
Junzhou Huang
Huaxiu Yao
Linjun Zhang
FedML
432
1
0
25 Feb 2024
Energy-Efficient Wireless Federated Learning via Doubly Adaptive Quantization
Xu Han
Wen Chen
Jun Li
Ming Ding
Qing-Bin Wu
Kang Wei
Xiumei Deng
Zhen Mei
MQ
294
11
0
20 Feb 2024
Budgeted Online Model Selection and Fine-Tuning via Federated Learning
P. M. Ghari
Yanning Shen
FedML
373
2
0
19 Jan 2024
AdaFed: Fair Federated Learning via Adaptive Common Descent Direction
Shayan Mohajer Hamidi
En-Hui Yang
FedML
298
15
0
10 Jan 2024
Distributed client selection with multi-objective in federated learning assisted Internet of Vehicles
Narisu Cha
Long Chang
160
1
0
06 Jan 2024
Fairness-Aware Job Scheduling for Multi-Job Federated Learning
Yuxin Shi
Han Yu
FedML
382
4
0
05 Jan 2024
Towards Reliable Participation in UAV-Enabled Federated Edge Learning on Non-IID Data
IEEE Open Journal of Vehicular Technology (IEEE Open J. Veh. Technol.), 2023
Youssra Cheriguene
Wael Jaafar
H. Yanikomeroglu
C. A. Kerrache
255
16
0
16 Dec 2023
Federated Learning for 6G: Paradigms, Taxonomy, Recent Advances and Insights
Maryam Ben Driss
Essaid Sabir
H. Elbiaze
Walid Saad
256
14
0
07 Dec 2023
Multi-Criteria Client Selection and Scheduling with Fairness Guarantee for Federated Learning Service
Meiying Zhang
Huan Zhao
Sheldon C Ebron
Ruitao Xie
Kan Yang
190
3
0
05 Dec 2023
Eliminating Domain Bias for Federated Learning in Representation Space
Neural Information Processing Systems (NeurIPS), 2023
Jianqing Zhang
Yang Hua
Jian Cao
Hao Wang
Tao Song
Zhengui Xue
Ruhui Ma
Haibing Guan
FedML
385
74
0
25 Nov 2023
Optimization of Federated Learning's Client Selection for Non-IID Data Based on Grey Relational Analysis
Shuaijun Chen
Omid Tavallaie
Michael Henri Hambali
S. M. Zandavi
Hamed Haddadi
Nicholas D. Lane
Song Guo
Albert Y. Zomaya
FedML
429
4
0
12 Oct 2023
Federated Learning in UAV-Enhanced Networks: Joint Coverage and Convergence Time Optimization
IEEE Transactions on Wireless Communications (IEEE TWC), 2023
Mariam Yahya
S. Maghsudi
S. Stańczak
272
10
0
31 Aug 2023
FLIPS: Federated Learning using Intelligent Participant Selection
International Middleware Conference (Middleware), 2023
R. Bhope
K.R. Jayaram
N. Venkatasubramanian
Ashish Verma
Gegi Thomas
FedML
298
8
0
07 Aug 2023
Towards Fair and Privacy Preserving Federated Learning for the Healthcare Domain
Navya Annapareddy
Yingzheng Liu
Judy Fox
OOD
211
3
0
03 Aug 2023
Training Latency Minimization for Model-Splitting Allowed Federated Edge Learning
IEEE Transactions on Network Science and Engineering (IEEE T-NSE), 2023
Yao Wen
GuoPeng Zhang
Kezhi Wang
Kun Yang
FedML
322
10
0
21 Jul 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
173
44
0
20 Jul 2023
Heterogeneous Federated Learning: State-of-the-art and Research Challenges
ACM Computing Surveys (ACM Comput. Surv.), 2023
Mang Ye
Xiuwen Fang
Bo Du
PongChi Yuen
Dacheng Tao
FedML
AAML
518
553
0
20 Jul 2023
Learner Referral for Cost-Effective Federated Learning Over Hierarchical IoT Networks
IEEE Transactions on Cognitive Communications and Networking (IEEE TCCN), 2023
Yulan Gao
Ziqiang Ye
Yue Xiao
Wei Xiang
FedML
175
1
0
19 Jul 2023
Mobility-Aware Joint User Scheduling and Resource Allocation for Low Latency Federated Learning
International Conference on Innovative Computing and Cloud Computing (ICCC), 2023
Kecheng Fan
Wen Chen
Jun Li
Xiumei Deng
Xu Han
Ming Ding
FedML
211
8
0
18 Jul 2023
FedDCT: A Dynamic Cross-Tier Federated Learning Scheme in Wireless Communication Networks
Wireless Algorithms, Systems, and Applications (WASA), 2023
Peng Liu
Youquan Xian
Chuanjia Yao
Xiao-ying Gan
Liang Zhou
Jianyong Jiang
Dongcheng Li
FedML
147
0
0
10 Jul 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
396
91
0
14 Jun 2023
A Systematic Literature Review on Client Selection in Federated Learning
International Conference on Evaluation & Assessment in Software Engineering (EASE), 2023
Carl Smestad
Jingyue Li
256
35
0
08 Jun 2023
Trustworthy Federated Learning: A Survey
A. Tariq
M. Serhani
F. Sallabi
Tariq Qayyum
E. Barka
K. Shuaib
FedML
330
19
0
19 May 2023
Gradient Sparsification for Efficient Wireless Federated Learning with Differential Privacy
Science China Information Sciences (Sci China Inf Sci), 2023
Kang Wei
Jun Li
Chuan Ma
Ming Ding
Feng Shu
Haitao Zhao
Wen Chen
Hongbo Zhu
FedML
409
11
0
09 Apr 2023
Client Selection for Generalization in Accelerated Federated Learning: A Multi-Armed Bandit Approach
IEEE Access (IEEE Access), 2023
Dan Ben Ami
Kobi Cohen
Qing Zhao
FedML
228
21
0
18 Mar 2023
Fusion of Global and Local Knowledge for Personalized Federated Learning
Tiansheng Huang
Li Shen
Yan Sun
Weiwei Lin
Dacheng Tao
FedML
202
17
0
21 Feb 2023
FederatedTrust: A Solution for Trustworthy Federated Learning
Future generations computer systems (FGCS), 2023
Pedro Miguel Sánchez Sánchez
Alberto Huertas Celdrán
Ning Xie
Gérome Bovet
Gregorio Martínez Pérez
Burkhard Stiller
373
47
0
20 Feb 2023
Adaptive incentive for cross-silo federated learning: A multi-agent reinforcement learning approach
Shijing Yuan
Hongze Liu
Hongtao Lv
Zhanbo Feng
Jie Li
Hongyang Chen
Chentao Wu
AI4CE
FedML
186
0
0
15 Feb 2023
Recent Advances on Federated Learning: A Systematic Survey
Neurocomputing (Neurocomputing), 2023
Bingyan Liu
Nuoyan Lv
Yuanchun Guo
Yawen Li
FedML
276
201
0
03 Jan 2023
MDA: Availability-Aware Federated Learning Client Selection
Amin Eslami Abyane
Steve Drew
Hadi Hemmati
FedML
307
6
0
25 Nov 2022
FedGS: Federated Graph-based Sampling with Arbitrary Client Availability
AAAI Conference on Artificial Intelligence (AAAI), 2022
Liang Luo
Xiaoliang Fan
Jianzhong Qi
Haibing Jin
Peizhen Yang
Yu Zang
Cheng-i Wang
FedML
333
23
0
25 Nov 2022
Fairness in Federated Learning via Core-Stability
Neural Information Processing Systems (NeurIPS), 2022
Bhaskar Chaudhury
Linyi Li
Mintong Kang
Yue Liu
R. Mehta
FedML
201
43
0
03 Nov 2022
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