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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"
21 / 21 papers shown
Title
MAB-Based Channel Scheduling for Asynchronous Federated Learning in Non-Stationary Environments
Zehan Li
Yubo Yang
Tao Yang
X. Wu
Ziyu Guo
Bo Hu
64
0
0
03 Mar 2025
Communication-Efficient Device Scheduling for Federated Learning Using Lyapunov Optimization
Jake B. Perazzone
Shiqiang Wang
Mingyue Ji
Kevin S. Chan
FedML
75
0
0
01 Mar 2025
FedMRL: Data Heterogeneity Aware Federated Multi-agent Deep Reinforcement Learning for Medical Imaging
Pranab Sahoo
Ashutosh Tripathi
Sriparna Saha
S. Mondal
42
0
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
51
1
0
19 Apr 2024
Budgeted Online Model Selection and Fine-Tuning via Federated Learning
P. M. Ghari
Yanning Shen
FedML
46
1
0
19 Jan 2024
Distributed client selection with multi-objective in federated learning assisted Internet of Vehicles
Narisu Cha
Long Chang
27
0
0
06 Jan 2024
Fairness-Aware Job Scheduling for Multi-Job Federated Learning
Yuxin Shi
Han Yu
FedML
20
3
0
05 Jan 2024
Federated Learning for 6G: Paradigms, Taxonomy, Recent Advances and Insights
Maryam Ben Driss
Essaid Sabir
H. Elbiaze
Walid Saad
30
7
0
07 Dec 2023
Federated Learning in UAV-Enhanced Networks: Joint Coverage and Convergence Time Optimization
Mariam Yahya
S. Maghsudi
S. Stańczak
21
3
0
31 Aug 2023
FLIPS: Federated Learning using Intelligent Participant Selection
R. Bhope
K. R. Jayaram
N. Venkatasubramanian
Ashish Verma
Gegi Thomas
FedML
29
3
0
07 Aug 2023
Heterogeneous Federated Learning: State-of-the-art and Research Challenges
Mang Ye
Xiuwen Fang
Bo Du
PongChi Yuen
Dacheng Tao
FedML
AAML
39
244
0
20 Jul 2023
Gradient Sparsification for Efficient Wireless Federated Learning with Differential Privacy
Kang Wei
Jun Li
Chuan Ma
Ming Ding
Feng Shu
Haitao Zhao
Wen Chen
Hongbo Zhu
FedML
30
4
0
09 Apr 2023
FederatedTrust: A Solution for Trustworthy Federated Learning
Pedro Miguel Sánchez Sánchez
Alberto Huertas Celdrán
Ning Xie
Gérome Bovet
Gregorio Martínez Pérez
Burkhard Stiller
36
21
0
20 Feb 2023
MDA: Availability-Aware Federated Learning Client Selection
Amin Eslami Abyane
Steve Drew
Hadi Hemmati
FedML
16
5
0
25 Nov 2022
FedGS: Federated Graph-based Sampling with Arbitrary Client Availability
Zhilin Wang
Xiaoliang Fan
Jianzhong Qi
Haibing Jin
Peizhen Yang
Siqi Shen
Cheng-i Wang
FedML
30
13
0
25 Nov 2022
Scheduling Algorithms for Federated Learning with Minimal Energy Consumption
L. Pilla
26
15
0
13 Sep 2022
Communication-Efficient Device Scheduling for Federated Learning Using Stochastic Optimization
Jake B. Perazzone
Shiqiang Wang
Mingyue Ji
Kevin S. Chan
FedML
21
72
0
19 Jan 2022
Context-Aware Online Client Selection for Hierarchical Federated Learning
Zhe Qu
Rui Duan
Lixing Chen
Jie Xu
Zhuo Lu
Yao-Hong Liu
39
61
0
02 Dec 2021
Towards Fairness-Aware Federated Learning
Yuxin Shi
Han Yu
Cyril Leung
FedML
21
79
0
02 Nov 2021
Low-Latency Federated Learning over Wireless Channels with Differential Privacy
Kang Wei
Jun Li
Chuan Ma
Ming Ding
Cailian Chen
Shi Jin
Zhu Han
H. Vincent Poor
FedML
27
73
0
20 Jun 2021
Edge Intelligence: The Confluence of Edge Computing and Artificial Intelligence
Shuiguang Deng
Hailiang Zhao
Weijia Fang
Jianwei Yin
Schahram Dustdar
Albert Y. Zomaya
71
605
0
02 Sep 2019
1