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Daniel Janes Beutel
Daniel Janes Beutel
Visiting Researcher, University of Cambridge | Founder, Adap
Verified email at kellogg.ox.ac.uk - Homepage
Title
Cited by
Cited by
Year
Flower: A friendly federated learning research framework
DJ Beutel, T Topal, A Mathur, X Qiu, T Parcollet, PPB de Gusmão, ...
arXiv preprint arXiv:2007.14390, 2020
842020
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
172018
A first look into the carbon footprint of federated learning
X Qiu, T Parcollet, J Fernandez-Marques, PPB de Gusmao, DJ Beutel, ...
arXiv preprint arXiv:2102.07627, 2021
112021
Can federated learning save the planet?
X Qiu, T Parcollet, DJ Beutel, T Topal, A Mathur, ND Lane
arXiv preprint arXiv:2010.06537, 2020
72020
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
62022
On-device federated learning with flower
A Mathur, DJ Beutel, PPB de Gusmao, J Fernandez-Marques, T Topal, ...
arXiv preprint arXiv:2104.03042, 2021
62021
Practical proof of kernel work & distributed adaptiveness
LN Lundbæk, DJ Beutel, M Huth, L Kirk
manuscript Version 1, 2018
42018
Flower: A friendly federated learning framework
DJ Beutel, T Topal, A Mathur, X Qiu, J Fernandez-Marques, Y Gao, L Sani, ...
32022
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
12021
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
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
2021
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