| 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 | 654 | 2020 |
| A first look into the carbon footprint of federated learning X Qiu, T Parcollet, J Fernandez-Marques, PPB de Gusmao, Y Gao, ... JMLR 24 (1-23), 2021 | 59 | 2021 |
| ZeroFL: Efficient On-Device Training for Federated Learning with Local Sparsity X Qiu, J Fernandez-Marques, PPB Gusmao, Y Gao, T Parcollet, ND Lane International Conference on Learning Representations, 2021 | 39 | 2021 |
| On-device federated learning with flower A Mathur, DJ Beutel, PPB de Gusmao, J Fernandez-Marques, T Topal, ... arXiv preprint arXiv:2104.03042, 2021 | 37 | 2021 |
| Can Federated Learning Save the Planet? X Qiu, T Parcollet, D Beutel, T Topal, A Mathur, N Lane NeurIPS-Tackling Climate Change with Machine Learning, 2020 | 26 | 2020 |
| Quaternion Neural Networks for Multi-channel Distant Speech Recognition X Qiu, T Parcollet, M Ravanelli, N Lane, M Morchid Interspeech 2020, 2020 | 16 | 2020 |
| 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 | 6 | 2023 |
| Protea: Client profiling within federated systems using flower W Zhao, X Qiu, J Fernandez-Marques, PPB de Gusmão, ND Lane Proceedings of the 1st ACM Workshop on Data Privacy and Federated Learning …, 2022 | 5 | 2022 |
| EXACT: Extensive Attack for Split Learning X Qiu, I Leontiadis, L Melis, A Sablayrolles, P Stock arXiv preprint arXiv:2305.12997, 2023 | 3 | 2023 |
| Breaking Physical and Linguistic Borders: Multilingual Federated Prompt Tuning for Low-Resource Languages W Zhao, R Lee, Y Chen, X Qiu, Y Gao, H Fan, ND Lane The Twelfth International Conference on Learning Representations, 2023 | 2 | 2023 |
| FedVal: Different good or different bad in federated learning V Valadi, X Qiu, PPB de Gusmão, ND Lane, M Alibeigi 32nd USENIX Security Sypoposium, 2023 | 2 | 2023 |
| vFedSec: Efficient Secure Aggregation for Vertical Federated Learning via Secure Layer X Qiu, H Pan, W Zhao, C Ma, PPB Gusmao, ND Lane arXiv preprint arXiv:2305.16794, 2023 | 2 | 2023 |
| Efficient Vertical Federated Learning with Secure Aggregation X Qiu, H Pan, W Zhao, C Ma, PPB de Gusmão, ND Lane Workshop on Federated Learning Systems at MLsys 2023 arXiv preprint arXiv …, 2023 | 1 | 2023 |
| FusionRNN: Shared Neural Parameters for Multi-Channel Distant Speech Recognition T Parcollet, X Qiu, N Lane Interspeech 2020, 1678-1682, 2020 | 1 | 2020 |
| 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 |
| FedL2P: Federated Learning to Personalize R Lee, M Kim, D Li, X Qiu, T Hospedales, F Huszár, ND Lane Thirty-seventh Conference on Neural Information Processing Systems, 2023 | | 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 |
Nicholas LaneUniversity of Cambridge and Flower LabsVerifierad e-postadress på cam.ac.uk
