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Greedy Shapley Client Selection for Communication-Efficient Federated
  Learning
v1v2v3 (latest)

Greedy Shapley Client Selection for Communication-Efficient Federated Learning

IEEE Networking Letters (IEEE Netw. Lett.), 2023
14 December 2023
Pranava Singhal
Shashi Raj Pandey
P. Popovski
    FedML
ArXiv (abs)PDFHTML

Papers citing "Greedy Shapley Client Selection for Communication-Efficient Federated Learning"

3 / 3 papers shown
Title
FairEquityFL -- A Fair and Equitable Client Selection in Federated Learning for Heterogeneous IoV Networks
FairEquityFL -- A Fair and Equitable Client Selection in Federated Learning for Heterogeneous IoV NetworksInternational Conference on Advanced Data Mining and Applications (ADMA), 2025
Fahmida Islam
A. Mahmood
Noorain Mukhtiar
Kasun Eranda Wijethilake
Quan Z. Sheng
FedML
124
1
0
24 Sep 2025
Owen Sampling Accelerates Contribution Estimation in Federated Learning
Owen Sampling Accelerates Contribution Estimation in Federated Learning
Hossein KhademSohi
Hadi Hemmati
Jiayu Zhou
Steve Drew
FedML
203
0
0
28 Aug 2025
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
156
3
0
21 May 2024
1