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Daniel Janes Beutel
Daniel Janes Beutel
Adresă de e-mail confirmată pe cam.ac.uk - Pagina de pornire
Titlu
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Citat de
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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, ...
1075*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
992023
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
972023
On-device federated learning with flower
A Mathur, DJ Beutel, PPB de Gusmao, J Fernandez-Marques, T Topal, ...
arXiv preprint arXiv:2104.03042, 2021
502021
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
472022
Can federated learning save the planet?
X Qiu, T Parcollet, DJ Beutel, T Topal, A Mathur, ND Lane
arXiv preprint arXiv:2010.06537, 2020
342020
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
332020
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
322021
Flower: A Friendly Federated Learning Research Framework. 2020. doi: 10.48550
DJ Beutel, T Topal, A Mathur
ARXIV, 2007
282007
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
242021
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
242018
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
142023
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
132020
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
Practical proof of kernel work & distributed adaptiveness
LN Lundbæk, DJ Beutel, M Huth, L Kirk
manuscript Version 1, 2018
62018
Supercharging Federated Learning with Flower and NVIDIA FLARE
HR Roth, DJ Beutel, Y Cheng, JF Marques, H Pan, C Chen, Z Zhang, ...
arXiv preprint arXiv:2407.00031, 2024
12024
medixain: Robust Blockchain Optimization Enabling Individual Medical Wallet Architecture
LN Lundbæk, X AG, L Kirk, D Ottewell, DJ Beutel, AD de Molina Rius, ...
12017
Federated Learning: Catalyzing the Next AI Breakthrough
DJ Beutel
2024 International Conference on Intelligent Computing, Communication …, 2024
2024
Keynote Speech 4 Federated Learning for IoT
DJ Beutel
2024 9th International Conference on Fog and Mobile Edge Computing (FMEC), 1-1, 2024
2024
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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