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Daniel Janes Beutel
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Flower: A friendly federated learning framework
DJ Beutel, T Topal, A Mathur, X Qiu, J Fernandez-Marques, Y Gao, L Sani, ...
684*2022
A first look into the carbon footprint of federated learning
X Qiu, T Parcollet, J Fernandez-Marques, PPB Gusmao, Y Gao, DJ Beutel, ...
Journal of Machine Learning Research 24 (129), 1-23, 2023
642023
On-device federated learning with flower
A Mathur, DJ Beutel, PPB de Gusmao, J Fernandez-Marques, T Topal, ...
arXiv preprint arXiv:2104.03042, 2021
402021
End-to-end speech recognition from federated acoustic models
Y Gao, T Parcollet, S Zaiem, J Fernandez-Marques, PPB de Gusmao, ...
ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022
392022
Federated benchmarking of medical artificial intelligence with MedPerf
A Karargyris, R Umeton, MJ Sheller, A Aristizabal, J George, A Wuest, ...
Nature Machine Intelligence 5 (7), 799-810, 2023
292023
Can federated learning save the planet?
X Qiu, T Parcollet, DJ Beutel, T Topal, A Mathur, ND Lane
NeurIPS-Tackling Climate Change with Machine Learning, 2020
262020
Proof of kernel work: A democratic low-energy consensus for distributed access-control protocols
LN Lundbæk, D Janes Beutel, M Huth, S Jackson, L Kirk, R Steiner
Royal Society Open Science 5 (8), 180422, 2018
222018
Secure aggregation for federated learning in flower
KH Li, PPB de Gusmão, DJ Beutel, ND Lane
Proceedings of the 2nd ACM International Workshop on Distributed Machine …, 2021
202021
Medperf: open benchmarking platform for medical artificial intelligence using federated evaluation
A Karargyris, R Umeton, MJ Sheller, A Aristizabal, J George, S Bala, ...
arXiv preprint arXiv:2110.01406, 2021
172021
PP d. Gusmao, and ND Lane,“Flower: A friendly federated learning research framework,”
DJ Beutel, T Topal, A Mathur, X Qiu, J Fernandez-Marques, Y Gao, L Sani, ...
arXiv preprint arXiv:2007.14390, 2020
132020
Flower: A Friendly Federated Learning Research Framework. 2020. doi: 10.48550
DJ Beutel, T Topal, A Mathur
ARXIV, 2007
122007
Flower: A Friendly Federated Learning Research Framework. CoRR abs/2007.14390 (2020)
DJ Beutel, T Topal, A Mathur, X Qiu, T Parcollet, ND Lane
arXiv preprint arXiv:2007.14390, 2020
82020
On-device Federated Learning with Flower. arXiv 2021
A Mathur, DJ Beutel, PPB de Gusmão, J Fernandez-Marques, T Topal, ...
arXiv preprint arXiv:2104.03042, 0
7
Gradient-less federated gradient boosting tree with learnable learning rates
C Ma, X Qiu, D Beutel, N Lane
Proceedings of the 3rd Workshop on Machine Learning and Systems, 56-63, 2023
62023
Practical proof of kernel work & distributed adaptiveness
LN Lundbæk, DJ Beutel, M Huth, L Kirk
manuscript Version 1, 2018
52018
medixain: Robust Blockchain Optimization Enabling Individual Medical Wallet Architecture
LN Lundbæk, X AG, L Kirk, D Ottewell, DJ Beutel, AD de Molina Rius, ...
12017
Secure Aggregation for Federated Learning in Flower
K Hei Li, P Porto Buarque de Gusmão, DJ Beutel, ND Lane
arXiv e-prints, arXiv: 2205.06117, 2022
2022
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