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 | 604 | 2020 |
Flower: A friendly federated learning framework DJ Beutel, T Topal, A Mathur, X Qiu, J Fernandez-Marques, Y Gao, L Sani, ... | 40 | 2022 |
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 | 13 | 2020 |
Flower: A friendly federated learning framework.(2022) DJ Beutel, T Topal, A Mathur, X Qiu, J Fernandez-Marques, Y Gao, L Sani, ... Accessible online: https://flower. dev/, Last accessed Nov, 2022 | 5 | 2022 |
FedAnchor: Enhancing Federated Semi-Supervised Learning with Label Contrastive Loss for Unlabeled Clients X Qiu, Y Gao, L Sani, H Pan, W Zhao, PPB Gusmao, M Alibeigi, A Iacob, ... arXiv preprint arXiv:2402.10191, 2024 | | 2024 |
FedAnchor: Enhancing Federated Semi-Supervised Learning with Label Contrastive Loss X Qiu, Y Gao, L Sani, H Pan, W Zhao, PPB de Gusmao, ND Lane | | 2023 |
High-throughput Simulation of Federated Learning via Resource-Aware Client Placement L Sani, PPB de Gusmão, A Iacob, W Zhao, X Qiu, Y Gao, ... arXiv preprint arXiv:2306.17453, 2023 | | 2023 |
Pollen: High-throughput Simulation of Federated Learning via Resource-Aware Client Placement L Sani, PPB Gusmao, A Iacob, W Zhao, X Qiu, Y Gao, ... | | |