Inproceedings,
FLamby: Datasets and Benchmarks for Cross-Silo Federated Learning in Realistic Healthcare Settings.
J. du Terrail, S. Ayed, E. Cyffers, F. Grimberg, C. He, R. Loeb, P. Mangold, T. Marchand, O. Marfoq, E. Mushtaq, B. Muzellec, C. Philippenko, S. Silva, M. Telenczuk, S. Albarqouni, S. Avestimehr, A. Bellet, A. Dieuleveut, M. Jaggi, S. Karimireddy, M. Lorenzi, G. Neglia, M. Tommasi, and M. Andreux.NeurIPS, (2022)
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- inproceedings
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- NeurIPS
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- 2022
- crossref
- conf/nips/2022
- ee
- http://papers.nips.cc/paper_files/paper/2022/hash/232eee8ef411a0a316efa298d7be3c2b-Abstract-Datasets_and_Benchmarks.html
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- 9781713871088
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- http://dblp.uni-trier.de/db/conf/nips/neurips2022.html#TerrailACGHLMMM22
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%1 conf/nips/TerrailACGHLMMM22
%A du Terrail, Jean Ogier
%A Ayed, Samy-Safwan
%A Cyffers, Edwige
%A Grimberg, Felix
%A He, Chaoyang
%A Loeb, Regis
%A Mangold, Paul
%A Marchand, Tanguy
%A Marfoq, Othmane
%A Mushtaq, Erum
%A Muzellec, Boris
%A Philippenko, Constantin
%A Silva, Santiago
%A Telenczuk, Maria
%A Albarqouni, Shadi
%A Avestimehr, Salman
%A Bellet, Aurélien
%A Dieuleveut, Aymeric
%A Jaggi, Martin
%A Karimireddy, Sai Praneeth
%A Lorenzi, Marco
%A Neglia, Giovanni
%A Tommasi, Marc
%A Andreux, Mathieu
%B NeurIPS
%D 2022
%E Koyejo, Sanmi
%E Mohamed, S.
%E Agarwal, A.
%E Belgrave, Danielle
%E Cho, K.
%E Oh, A.
%K dblp
%T FLamby: Datasets and Benchmarks for Cross-Silo Federated Learning in Realistic Healthcare Settings.
%U http://dblp.uni-trier.de/db/conf/nips/neurips2022.html#TerrailACGHLMMM22
%@ 9781713871088
@inproceedings{conf/nips/TerrailACGHLMMM22,
added-at = {2024-01-08T00:00:00.000+0100},
author = {du Terrail, Jean Ogier and Ayed, Samy-Safwan and Cyffers, Edwige and Grimberg, Felix and He, Chaoyang and Loeb, Regis and Mangold, Paul and Marchand, Tanguy and Marfoq, Othmane and Mushtaq, Erum and Muzellec, Boris and Philippenko, Constantin and Silva, Santiago and Telenczuk, Maria and Albarqouni, Shadi and Avestimehr, Salman and Bellet, Aurélien and Dieuleveut, Aymeric and Jaggi, Martin and Karimireddy, Sai Praneeth and Lorenzi, Marco and Neglia, Giovanni and Tommasi, Marc and Andreux, Mathieu},
biburl = {https://www.bibsonomy.org/bibtex/2202a96b26433eb962256e2d64112ab36/dblp},
booktitle = {NeurIPS},
crossref = {conf/nips/2022},
editor = {Koyejo, Sanmi and Mohamed, S. and Agarwal, A. and Belgrave, Danielle and Cho, K. and Oh, A.},
ee = {http://papers.nips.cc/paper_files/paper/2022/hash/232eee8ef411a0a316efa298d7be3c2b-Abstract-Datasets_and_Benchmarks.html},
interhash = {261b831b1ea823dfa2287c1e2bbad05e},
intrahash = {202a96b26433eb962256e2d64112ab36},
isbn = {9781713871088},
keywords = {dblp},
timestamp = {2024-04-09T23:22:16.000+0200},
title = {FLamby: Datasets and Benchmarks for Cross-Silo Federated Learning in Realistic Healthcare Settings.},
url = {http://dblp.uni-trier.de/db/conf/nips/neurips2022.html#TerrailACGHLMMM22},
year = 2022
}