FedBed: Benchmarking Federated Learning over Virtualized Edge Testbeds-Reference-Cited by-同舟云学术

FedBed: Benchmarking Federated Learning over Virtualized Edge Testbeds

Published:2023-12-04 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the IEEE/ACM 16th International Conference on Utility and Cloud Computing
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Author:

Symeonides Moysis¹^ORCID,Nikolaidis Fotis²^ORCID,Trihinas Demetris³^ORCID,Pallis George¹^ORCID,Dikaiakos Marios D.¹^ORCID,Bilas Angelos²^ORCID

Affiliation:

1. University of Cyprus, Nicosia, CY

2. FORTH-ICS, Heraklion, GR

3. University of Nicosia, Nicosia, CY

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3603166.3632138

Reference24 articles.

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3. Sebastian Caldas, Sai Meher Karthik Duddu, Peter Wu, Tian Li, Jakub Konečný, H. Brendan McMahan, Virginia Smith, and Ameet Talwalkar. 2019. LEAF: A Benchmark for Federated Settings. arXiv:1812.01097 [cs.LG]

4. Yae Jee Cho Jianyu Wang and Gauri Joshi. 2020. Client Selection in Federated Learning: Convergence Analysis and Power-of-Choice Selection Strategies. arXiv:2010.01243 [cs.LG]

5. Dimitrios Dimitriadis, Mirian Hipolito Garcia, Daniel Madrigal, Andre Manoel, and Robert Sim. 2022. FLUTE: A Scalable, Extensible Framework for High-Performance Federated Learning Simulations.

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