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A Survey on Participant Selection for Federated Learning in Mobile
  Networks

A Survey on Participant Selection for Federated Learning in Mobile Networks

8 July 2022
Behnaz Soltani
Venus Haghighi
A. Mahmood
Quan.Z Sheng
Lina Yao
    FedML
ArXivPDFHTML

Papers citing "A Survey on Participant Selection for Federated Learning in Mobile Networks"

8 / 8 papers shown
Title
Federated Learning and RAG Integration: A Scalable Approach for Medical Large Language Models
Federated Learning and RAG Integration: A Scalable Approach for Medical Large Language Models
Jincheol Jung
Hongju Jeong
Eui-Nam Huh
96
0
0
18 Dec 2024
FedZero: Leveraging Renewable Excess Energy in Federated Learning
FedZero: Leveraging Renewable Excess Energy in Federated Learning
Philipp Wiesner
R. Khalili
Dennis Grinwald
Pratik Agrawal
L. Thamsen
O. Kao
36
16
0
24 May 2023
A Survey of Federated Evaluation in Federated Learning
A Survey of Federated Evaluation in Federated Learning
Behnaz Soltani
Yipeng Zhou
Venus Haghighi
John C. S. Lui
FedML
43
12
0
14 May 2023
Joint Age-based Client Selection and Resource Allocation for
  Communication-Efficient Federated Learning over NOMA Networks
Joint Age-based Client Selection and Resource Allocation for Communication-Efficient Federated Learning over NOMA Networks
Bibo Wu
Fang Fang
Xianbin Wang
44
19
0
18 Apr 2023
A Survey on Secure and Private Federated Learning Using Blockchain:
  Theory and Application in Resource-constrained Computing
A Survey on Secure and Private Federated Learning Using Blockchain: Theory and Application in Resource-constrained Computing
Ervin Moore
Ahmed Imteaj
S. Rezapour
M. Amini
33
18
0
24 Mar 2023
Client Selection in Federated Learning: Principles, Challenges, and
  Opportunities
Client Selection in Federated Learning: Principles, Challenges, and Opportunities
Lei Fu
Huan Zhang
Ge Gao
Mi Zhang
Xin Liu
FedML
39
118
0
03 Nov 2022
Papaya: Practical, Private, and Scalable Federated Learning
Papaya: Practical, Private, and Scalable Federated Learning
Dzmitry Huba
John Nguyen
Kshitiz Malik
Ruiyu Zhu
Michael G. Rabbat
...
H. Srinivas
Kaikai Wang
Anthony Shoumikhin
Jesik Min
Mani Malek
FedML
113
137
0
08 Nov 2021
Device Sampling for Heterogeneous Federated Learning: Theory,
  Algorithms, and Implementation
Device Sampling for Heterogeneous Federated Learning: Theory, Algorithms, and Implementation
Su Wang
Mengyuan Lee
Seyyedali Hosseinalipour
Roberto Morabito
M. Chiang
Christopher G. Brinton
FedML
85
110
0
04 Jan 2021
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