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Data-Quality Based Scheduling for Federated Edge Learning

Data-Quality Based Scheduling for Federated Edge Learning

IEEE Conference on Local Computer Networks (LCN), 2021
27 January 2022
Afaf Taik
Hajar Moudoud
Soumaya Cherkaoui
ArXiv (abs)PDFHTMLGithub

Papers citing "Data-Quality Based Scheduling for Federated Edge Learning"

8 / 8 papers shown
CoFacS -- Simulating a Complete Factory to Study the Security of Interconnected Production
CoFacS -- Simulating a Complete Factory to Study the Security of Interconnected ProductionIEEE Conference on Local Computer Networks (LCN), 2025
Stefan Lenz
David Schachtschneider
Simon Jonas
Liam Tirpitz
Sandra Geisler
Martin Henze
176
1
0
20 Aug 2025
A Comprehensive Survey on Joint Resource Allocation Strategies in
  Federated Edge Learning
A Comprehensive Survey on Joint Resource Allocation Strategies in Federated Edge Learning
Jingbo Zhang
Qiong Wu
Pingyi Fan
Nan Cheng
FedML
277
3
0
10 Oct 2024
Data Quality in Edge Machine Learning: A State-of-the-Art Survey
Data Quality in Edge Machine Learning: A State-of-the-Art Survey
M. D. Belgoumri
Mohamed Reda Bouadjenek
Sunil Aryal
Hakim Hacid
433
2
0
01 Jun 2024
Federated Learning with Multi-resolution Model Broadcast
Federated Learning with Multi-resolution Model Broadcast
Henrik Rydén
Reza Moosavi
Erik G. Larsson
306
2
0
30 May 2024
VREM-FL: Mobility-Aware Computation-Scheduling Co-Design for Vehicular
  Federated Learning
VREM-FL: Mobility-Aware Computation-Scheduling Co-Design for Vehicular Federated LearningIEEE Transactions on Vehicular Technology (IEEE Trans. Veh. Technol.), 2023
Luca Ballotta
Nicolò Dal Fabbro
Giovanni Perin
Luca Schenato
Michele Rossi
Giuseppe Piro
264
4
0
30 Nov 2023
Scheduling and Aggregation Design for Asynchronous Federated Learning over Wireless Networks
Scheduling and Aggregation Design for Asynchronous Federated Learning over Wireless NetworksIEEE Journal on Selected Areas in Communications (JSAC), 2022
Chung-Hsuan Hu
Zheng Chen
Erik G. Larsson
294
111
0
14 Dec 2022
Towards a Secure and Reliable Federated Learning using Blockchain
Towards a Secure and Reliable Federated Learning using BlockchainGlobal Communications Conference (GLOBECOM), 2021
Hajar Moudoud
Soumaya Cherkaoui
L. Khoukhi
193
41
0
27 Jan 2022
Empowering Prosumer Communities in Smart Grid with Wireless
  Communications and Federated Edge Learning
Empowering Prosumer Communities in Smart Grid with Wireless Communications and Federated Edge LearningIEEE wireless communications (WC), 2021
Afaf Taik
Boubakr Nour
Soumaya Cherkaoui
226
37
0
07 Apr 2021
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