Data-Quality Based Scheduling for Federated Edge Learning

27 January 2022

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

8 / 8 papers shown

Title
CoFacS -- Simulating a Complete Factory to Study the Security of Interconnected Production Stefan Lenz David Schachtschneider Simon Jonas Liam Tirpitz Sandra Geisler Martin Henze 20 1 0 20 Aug 2025
A Comprehensive Survey on Joint Resource Allocation Strategies in Federated Edge Learning Jingbo Zhang Qiong Wu Pingyi Fan Nan Cheng FedML 104 1 0 10 Oct 2024
Data Quality in Edge Machine Learning: A State-of-the-Art Survey M. D. Belgoumri Mohamed Reda Bouadjenek Sunil Aryal Hakim Hacid 156 2 0 01 Jun 2024
Federated Learning with Multi-resolution Model Broadcast Henrik Rydén Reza Moosavi Erik G. Larsson 101 1 0 30 May 2024
VREM-FL: Mobility-Aware Computation-Scheduling Co-Design for Vehicular Federated Learning Luca Ballotta Nicolò Dal Fabbro Giovanni Perin Luca Schenato Michele Rossi Giuseppe Piro 118 1 0 30 Nov 2023
Scheduling and Aggregation Design for Asynchronous Federated Learning over Wireless Networks Chung-Hsuan Hu Zheng Chen Erik G. Larsson 114 82 0 14 Dec 2022
Towards a Secure and Reliable Federated Learning using Blockchain Hajar Moudoud Soumaya Cherkaoui L. Khoukhi 90 37 0 27 Jan 2022
Empowering Prosumer Communities in Smart Grid with Wireless Communications and Federated Edge Learning Afaf Taik Boubakr Nour Soumaya Cherkaoui 97 32 0 07 Apr 2021