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Client Selection in Federated Learning: Principles, Challenges, and
  Opportunities

Client Selection in Federated Learning: Principles, Challenges, and Opportunities

3 November 2022
Lei Fu
Huan Zhang
Ge Gao
Mi Zhang
Xin Liu
    FedML
ArXivPDFHTML

Papers citing "Client Selection in Federated Learning: Principles, Challenges, and Opportunities"

36 / 36 papers shown
Title
Collaborative Split Federated Learning with Parallel Training and Aggregation
Collaborative Split Federated Learning with Parallel Training and Aggregation
Yiannis Papageorgiou
Yannis Thomas
Alexios Filippakopoulos
Ramin Khalili
Iordanis Koutsopoulos
FedML
33
0
0
22 Apr 2025
FedFetch: Faster Federated Learning with Adaptive Downstream Prefetching
FedFetch: Faster Federated Learning with Adaptive Downstream Prefetching
Qifan Yan
Andrew Liu
Shiqi He
Mathias Lécuyer
Ivan Beschastnikh
FedML
31
0
0
21 Apr 2025
FedX: Adaptive Model Decomposition and Quantization for IoT Federated Learning
FedX: Adaptive Model Decomposition and Quantization for IoT Federated Learning
Phung Lai
Xiaopeng Jiang
Hai Phan
Cristian Borcea
K. Tran
An M. Chen
Vijaya Datta Mayyuri
Ruoming Jin
FedML
MQ
55
0
0
17 Apr 2025
PAUSE: Low-Latency and Privacy-Aware Active User Selection for Federated Learning
PAUSE: Low-Latency and Privacy-Aware Active User Selection for Federated Learning
Ori Peleg
Natalie Lang
Stefano Rini
Nir Shlezinger
Kobi Cohen
FedML
48
0
0
17 Mar 2025
XAI-Driven Client Selection for Federated Learning in Scalable 6G Network Slicing
XAI-Driven Client Selection for Federated Learning in Scalable 6G Network Slicing
Martino Chiarani
Swastika Roy
C. Verikoukis
Fabrizio Granelli
48
1
0
16 Mar 2025
Robust Federated Learning in Unreliable Wireless Networks: A Client Selection Approach
Robust Federated Learning in Unreliable Wireless Networks: A Client Selection Approach
Y. Wang
Wenkai Ji
Jian Zhou
Fu Xiao
Tsung-Hui Chang
36
0
0
24 Feb 2025
Federated Learning with Dynamic Client Arrival and Departure:
  Convergence and Rapid Adaptation via Initial Model Construction
Federated Learning with Dynamic Client Arrival and Departure: Convergence and Rapid Adaptation via Initial Model Construction
Zhan-Lun Chang
Dong-Jun Han
Rohit Parasnis
Seyyedali Hosseinalipour
Christopher G. Brinton
16
0
0
08 Oct 2024
Data Measurements for Decentralized Data Markets
Data Measurements for Decentralized Data Markets
Charles Lu
Mohammad Mohammadi Amiri
Ramesh Raskar
FedML
35
5
0
06 Jun 2024
Efficient Data Distribution Estimation for Accelerated Federated
  Learning
Efficient Data Distribution Estimation for Accelerated Federated Learning
Yuanli Wang
Lei Huang
FedML
19
0
0
03 Jun 2024
Exploring the Practicality of Federated Learning: A Survey Towards the
  Communication Perspective
Exploring the Practicality of Federated Learning: A Survey Towards the Communication Perspective
Khiem H. Le
Nhan Luong-Ha
Manh Nguyen-Duc
Danh Le-Phuoc
Cuong D. Do
Kok-Seng Wong
FedML
27
1
0
30 May 2024
Maverick-Aware Shapley Valuation for Client Selection in Federated
  Learning
Maverick-Aware Shapley Valuation for Client Selection in Federated Learning
Mengwei Yang
Ismat Jarin
Baturalp Buyukates
A. Avestimehr
A. Markopoulou
FedML
18
0
0
21 May 2024
Energy-Efficient Federated Edge Learning with Streaming Data: A Lyapunov
  Optimization Approach
Energy-Efficient Federated Edge Learning with Streaming Data: A Lyapunov Optimization Approach
Chung-Hsuan Hu
Zheng Chen
Erik G. Larsson
26
2
0
20 May 2024
SCALA: Split Federated Learning with Concatenated Activations and Logit
  Adjustments
SCALA: Split Federated Learning with Concatenated Activations and Logit Adjustments
Jiarong Yang
Yuan Liu
FedML
19
2
0
08 May 2024
Federated Learning and Evolutionary Game Model for Fog Federation
  Formation
Federated Learning and Evolutionary Game Model for Fog Federation Formation
Zyad Yasser
Ahmad Hammoud
Azzam Mourad
Hadi Otrok
Z. Dziong
Mohsen Guizani
22
1
0
02 May 2024
IID Relaxation by Logical Expressivity: A Research Agenda for Fitting
  Logics to Neurosymbolic Requirements
IID Relaxation by Logical Expressivity: A Research Agenda for Fitting Logics to Neurosymbolic Requirements
M. Stol
Alessandra Mileo
19
1
0
30 Apr 2024
GPFL: A Gradient Projection-Based Client Selection Framework for
  Efficient Federated Learning
GPFL: A Gradient Projection-Based Client Selection Framework for Efficient Federated Learning
Shijie Na
Yuzhi Liang
S.M. Yiu
FedML
19
0
0
26 Mar 2024
KnFu: Effective Knowledge Fusion
KnFu: Effective Knowledge Fusion
Seyed Jamal Seyed-Mohammadi
Kawa Atapour
J. Abouei
Arash Mohammadi
FedML
19
2
0
18 Mar 2024
Federated Learning on Transcriptomic Data: Model Quality and Performance
  Trade-Offs
Federated Learning on Transcriptomic Data: Model Quality and Performance Trade-Offs
Anika Hannemann
Jan Ewald
Leo Seeger
Erik Buchmann
FedML
22
2
0
22 Feb 2024
CCFC++: Enhancing Federated Clustering through Feature Decorrelation
CCFC++: Enhancing Federated Clustering through Feature Decorrelation
Jie Yan
Jing Liu
Yi-Zi Ning
Zhonghan Zhang
FedML
16
2
0
20 Feb 2024
FedD2S: Personalized Data-Free Federated Knowledge Distillation
FedD2S: Personalized Data-Free Federated Knowledge Distillation
Kawa Atapour
S. J. Seyedmohammadi
J. Abouei
Arash Mohammadi
Konstantinos N. Plataniotis
FedML
22
2
0
16 Feb 2024
Communication-Efficient Multimodal Federated Learning: Joint Modality
  and Client Selection
Communication-Efficient Multimodal Federated Learning: Joint Modality and Client Selection
Liangqi Yuan
Dong-Jun Han
Su Wang
Devesh Upadhyay
Christopher G. Brinton
36
10
0
30 Jan 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
28
1
0
19 Jan 2024
CCFC: Bridging Federated Clustering and Contrastive Learning
CCFC: Bridging Federated Clustering and Contrastive Learning
Jie Yan
Jing Liu
Zhonghan Zhang
FedML
29
3
0
12 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
15
0
0
06 Jan 2024
Efficient Asynchronous Federated Learning with Sparsification and
  Quantization
Efficient Asynchronous Federated Learning with Sparsification and Quantization
Juncheng Jia
Ji Liu
Chendi Zhou
Hao Tian
M. Dong
Dejing Dou
FedML
29
10
0
23 Dec 2023
FLASH-RL: Federated Learning Addressing System and Static Heterogeneity
  using Reinforcement Learning
FLASH-RL: Federated Learning Addressing System and Static Heterogeneity using Reinforcement Learning
Sofiane Bouaziz
Hadjer Benmeziane
Youcef Imine
Leila Hamdad
Smail Niar
Hamza Ouarnoughi
23
2
0
12 Nov 2023
Personalized Federated Learning via ADMM with Moreau Envelope
Personalized Federated Learning via ADMM with Moreau Envelope
Shengkun Zhu
Jinshan Zeng
Sheng Wang
Yuan Sun
Zhiyong Peng
13
0
0
12 Nov 2023
Multimodal Federated Learning in Healthcare: a Review
Multimodal Federated Learning in Healthcare: a Review
Jacob Thrasher
Alina Devkota
Prasiddha Siwakotai
Rohit Chivukula
Pranav Poudel
Chaunbo Hu
Binod Bhattarai
P. Gyawali
26
7
0
14 Oct 2023
Utilizing Free Clients in Federated Learning for Focused Model
  Enhancement
Utilizing Free Clients in Federated Learning for Focused Model Enhancement
Aditya Narayan Ravi
Ilan Shomorony
FedML
15
0
0
06 Oct 2023
Intelligent Client Selection for Federated Learning using Cellular
  Automata
Intelligent Client Selection for Federated Learning using Cellular Automata
Nikolaos Pavlidis
V. Perifanis
Theodoros Panagiotis Chatzinikolaou
G. Sirakoulis
P. Efraimidis
18
3
0
01 Oct 2023
Adaptive Federated Learning via New Entropy Approach
Adaptive Federated Learning via New Entropy Approach
Shensheng Zheng
Wenhao Yuan
Xuehe Wang
Ling-Yu Duan
FedML
OOD
13
1
0
27 Mar 2023
The Internet of Federated Things (IoFT): A Vision for the Future and
  In-depth Survey of Data-driven Approaches for Federated Learning
The Internet of Federated Things (IoFT): A Vision for the Future and In-depth Survey of Data-driven Approaches for Federated Learning
Raed Al Kontar
Naichen Shi
Xubo Yue
Seokhyun Chung
E. Byon
...
C. Okwudire
Garvesh Raskutti
R. Saigal
Karandeep Singh
Ye Zhisheng
FedML
22
47
0
09 Nov 2021
A Field Guide to Federated Optimization
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
FedML: A Research Library and Benchmark for Federated Machine Learning
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
553
0
27 Jul 2020
Convergence of Update Aware Device Scheduling for Federated Learning at
  the Wireless Edge
Convergence of Update Aware Device Scheduling for Federated Learning at the Wireless Edge
M. Amiri
Deniz Gunduz
Sanjeev R. Kulkarni
H. Vincent Poor
63
168
0
28 Jan 2020
Adaptive Federated Learning in Resource Constrained Edge Computing
  Systems
Adaptive Federated Learning in Resource Constrained Edge Computing Systems
Shiqiang Wang
Tiffany Tuor
Theodoros Salonidis
K. Leung
C. Makaya
T. He
Kevin S. Chan
141
1,663
0
14 Apr 2018
1