A Performance Evaluation of Federated Learning Algorithms-Reference-Cited by-同舟云学术

A Performance Evaluation of Federated Learning Algorithms

Published:2018-12-10 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the Second Workshop on Distributed Infrastructures for Deep Learning
language:
Short-container-title:

Author:

Nilsson Adrian¹,Smith Simon¹,Ulm Gregor¹,Gustavsson Emil¹,Jirstrand Mats¹

Affiliation:

1. Fraunhofer-Chalmers Centre, Gothenburg, Sweden

Funder

VINNOVA

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3286490.3286559

Reference14 articles.

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2. Random Search for Hyper-parameter Optimization;Bergstra James;Journal of Machine Learning Research,2012

3. Giorgio Corani and Alessio Benavoli. 2015. A Bayesian approach for comparing cross-validated algorithms on multiple data sets. Machine Learning 100 2 (01 Sept. 2015) 285--304. 10.1007/s10994-015-5486-z Giorgio Corani and Alessio Benavoli. 2015. A Bayesian approach for comparing cross-validated algorithms on multiple data sets. Machine Learning 100 2 (01 Sept. 2015) 285--304. 10.1007/s10994-015-5486-z

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