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A Snapshot of the Frontiers of Client Selection in Federated Learning
v1v2 (latest)

A Snapshot of the Frontiers of Client Selection in Federated Learning

27 September 2022
Gergely Németh
M. Lozano
Novi Quadrianto
Nuria Oliver
    FedML
ArXiv (abs)PDFHTML

Papers citing "A Snapshot of the Frontiers of Client Selection in Federated Learning"

8 / 8 papers shown
Communication-Efficient Learning for Satellite Constellations
Communication-Efficient Learning for Satellite Constellations
Ruxandra-Stefania Tudose
Moritz H.W. Grüss
Grace Ra Kim
Karl H. Johansson
Nicola Bastianello
216
0
0
25 Nov 2025
FedDiverse: Tackling Data Heterogeneity in Federated Learning with Diversity-Driven Client Selection
FedDiverse: Tackling Data Heterogeneity in Federated Learning with Diversity-Driven Client Selection
Gergely Németh
Eros Fani
Yeat Jeng Ng
Barbara Caputo
M. Lozano
Nuria Oliver
Novi Quadrianto
FedML
273
0
0
15 Apr 2025
Adaptive Client Selection with Personalization for Communication
  Efficient Federated Learning
Adaptive Client Selection with Personalization for Communication Efficient Federated LearningAd hoc networks (AHN), 2024
Allan M. de Souza
Filipe Maciel
Joahannes B. D. da Costa
L. Bittencourt
E. Cerqueira
A. A. F. Loureiro
Leandro A. Villas
FedML
274
38
0
26 Nov 2024
Cyber Attacks Prevention Towards Prosumer-based EV Charging Stations: An
  Edge-assisted Federated Prototype Knowledge Distillation Approach
Cyber Attacks Prevention Towards Prosumer-based EV Charging Stations: An Edge-assisted Federated Prototype Knowledge Distillation ApproachIEEE Transactions on Network and Service Management (TNSM), 2024
Luyao Zou
Quang Hieu Vo
Kitae Kim
Huy Q. Le
Chu Myaet Thwal
Chaoning Zhang
Choong Seon Hong
278
3
0
17 Oct 2024
Enhancing Privacy in Federated Learning through Local Training
Enhancing Privacy in Federated Learning through Local Training
Nicola Bastianello
Changxin Liu
Karl H. Johansson
267
3
0
26 Mar 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
322
2
0
19 Jan 2024
Near-optimal Differentially Private Client Selection in Federated
  Settings
Near-optimal Differentially Private Client Selection in Federated Settings
Syed Eqbal Alam
Dhirendra Shukla
Shrisha Rao
FedML
177
3
0
13 Oct 2023
A Framework for Incentivized Collaborative Learning
A Framework for Incentivized Collaborative Learning
Xinran Wang
Qi Le
Ahmad Faraz Khan
Jie Ding
A. Anwar
FedML
163
5
0
26 May 2023
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