Non-Cooperative Edge Server Selection Game for Federated Learning in IoT-Reference-Cited by-同舟云学术

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Non-Cooperative Edge Server Selection Game for Federated Learning in IoT

Published:2024-05-06 Issue: Volume:abs/2006.03594 Page:1-6
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Container-title:NOMS 2024-2024 IEEE Network Operations and Management Symposium
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Author:

Khawam Kinda¹,Taleb Hussein²,Lahoud Samer³,Fawaz Hassan⁴,Quadri Dominique⁵,Martin Steven⁵

Affiliation:

1. Université de Versailles Saint-Quentin-En-Yvelines,Versailles,France,78000

2. Saint Joseph University of Beirut,Ecole Supérieure d’Ingénieurs de Beyrouth,Beirut,Lebanon

3. Dalhousie University,Halifax,Nova Scotia,Canada,B3H 4R2

4. Institut Polytechnique de Paris,SAMOVAR, Télécom SudParis,Palaiseau,France,91120

5. Université Paris Saclay,ROCS, LISN,Gif-Sur-Yvette,France,91190

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10574855/10574897/10575406.pdf?arnumber=10575406

Reference14 articles.

1. A Survey of Incentive Mechanism Design for Federated Learning

2. From federated learning to fog learning: Towards large-scale distributed machine learning in heterogeneous wireless networks;Hosseinalipour;CoRR,2020

3. Model-sharing games: Analyzing federated learning under voluntary participation;Donahue;CoRR,2020

4. Federated Learning in Edge Computing: A Systematic Survey

5. Federated learning: Strategies for improving communication efficiency;Konečný

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