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An Efficiency-boosting Client Selection Scheme for Federated Learning
  with Fairness Guarantee

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
ArXivPDFHTML

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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
Edge Intelligence: The Confluence of Edge Computing and Artificial Intelligence
Shuiguang Deng
Hailiang Zhao
Weijia Fang
Jianwei Yin
Schahram Dustdar
Albert Y. Zomaya
68
605
0
02 Sep 2019
1