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 | 269 | 2020 |
A first look into the carbon footprint of federated learning X Qiu, T Parcollet, J Fernandez-Marques, PPB de Gusmao, Y Gao, ... arXiv preprint arXiv:2102.07627, 2021 | 35 | 2021 |
On-device federated learning with flower A Mathur, DJ Beutel, PPB de Gusmão, J Fernandez-Marques, T Topal, ... arXiv preprint arXiv:2104.03042, 2021 | 21 | 2021 |
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 | 21 | 2018 |
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 | 20 | 2022 |
Can federated learning save the planet? X Qiu, T Parcollet, DJ Beutel, T Topal, A Mathur, ND Lane arXiv preprint arXiv:2010.06537, 2020 | 19 | 2020 |
Flower: A friendly federated learning framework DJ Beutel, T Topal, A Mathur, X Qiu, J Fernandez-Marques, Y Gao, L Sani, ... | 17 | 2022 |
Flower: A friendly federated learning research framework. arXiv 2020 DJ Beutel, T Topal, A Mathur, X Qiu, T Parcollet, PP de Gusmão, ND Lane arXiv preprint arXiv:2007.14390, 2021 | 13 | 2021 |
Flower: A friendly federated learning research framework, 2020 DJ Beutel, T Topal, A Mathur, X Qiu, T Parcollet, ND Lane arXiv preprint arXiv:2007.14390, 2007 | 13 | 2007 |
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 | 9 | 2021 |
Flower: A friendly federated learning research framework. arXiv DJ Beutel, T Topal, A Mathur, X Qiu, T Parcollet, ND Lane Preprint posted online on July 28, 2020 | 8 | 2020 |
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 | 7 | 2021 |
Practical proof of kernel work & distributed adaptiveness LN Lundbæk, DJ Beutel, M Huth, L Kirk manuscript Version 1, 2018 | 4 | 2018 |
medixain: Robust Blockchain Optimization Enabling Individual Medical Wallet Architecture LN Lundbæk, X AG, L Kirk, D Ottewell, DJ Beutel, AD de Molina Rius, ... | 1 | 2017 |
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 | | 2023 |
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 |