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Lorenzo Sani
Lorenzo Sani
PhD student in Computer Science, University of Cambridge
Verified email at cam.ac.uk
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Year
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
5962020
Flower: A friendly federated learning framework
DJ Beutel, T Topal, A Mathur, X Qiu, J Fernandez-Marques, Y Gao, L Sani, ...
402022
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 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
52022
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, ...
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