| 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 | 778 | 2020 |
| Ganvo: Unsupervised deep monocular visual odometry and depth estimation with generative adversarial networks Y Almalioglu, MRU Saputra, PPB De Gusmao, A Markham, N Trigoni 2019 International conference on robotics and automation (ICRA), 5474-5480, 2019 | 182 | 2019 |
| Distilling knowledge from a deep pose regressor network MRU Saputra, PPB De Gusmao, Y Almalioglu, A Markham, N Trigoni Proceedings of the IEEE/CVF international conference on computer vision, 263-272, 2019 | 123 | 2019 |
| SelfVIO: Self-supervised deep monocular Visual–Inertial Odometry and depth estimation Y Almalioglu, M Turan, MRU Saputra, PPB De Gusmão, A Markham, ... Neural Networks 150, 119-136, 2022 | 106 | 2022 |
| milliEgo: single-chip mmWave radar aided egomotion estimation via deep sensor fusion CX Lu, MRU Saputra, P Zhao, Y Almalioglu, PPB De Gusmao, C Chen, ... Proceedings of the 18th Conference on Embedded Networked Sensor Systems, 109-122, 2020 | 92 | 2020 |
| A first look into the carbon footprint of federated learning X Qiu, T Parcollet, J Fernandez-Marques, PPB Gusmao, Y Gao, DJ Beutel, ... Journal of Machine Learning Research 24 (129), 1-23, 2023 | 80 | 2023 |
| Deeptio: A deep thermal-inertial odometry with visual hallucination MRU Saputra, PPB De Gusmao, CX Lu, Y Almalioglu, S Rosa, C Chen, ... IEEE Robotics and Automation Letters 5 (2), 1672-1679, 2020 | 65 | 2020 |
| Zerofl: Efficient on-device training for federated learning with local sparsity X Qiu, J Fernandez-Marques, PPB Gusmao, Y Gao, T Parcollet, ND Lane arXiv preprint arXiv:2208.02507, 2022 | 60 | 2022 |
| DeepPCO: End-to-end Point Cloud Odometry through Deep Parallel Neural Network W Wang, MRU Saputra, P Zhao, ... IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2019 | 55 | 2019 |
| Learning monocular visual odometry through geometry-aware curriculum learning MRU Saputra, PPB De Gusmao, S Wang, A Markham, N Trigoni 2019 international conference on robotics and automation (ICRA), 3549-3555, 2019 | 54 | 2019 |
| Flower: A friendly federated learning framework DJ Beutel, T Topal, A Mathur, X Qiu, J Fernandez-Marques, Y Gao, L Sani, ... | 51 | 2022 |
| Statistical modelling of outliers for fast visual search S Lepsøy, G Francini, G Cordara, PPB de Gusmao 2011 IEEE International Conference on Multimedia and Expo, 1-6, 2011 | 45 | 2011 |
| 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 | 43 | 2022 |
| On-device federated learning with flower A Mathur, DJ Beutel, PPB de Gusmao, J Fernandez-Marques, T Topal, ... arXiv preprint arXiv:2104.03042, 2021 | 42 | 2021 |
| 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 | 41 | 2021 |
| Graph-based thermal–inertial SLAM with probabilistic neural networks MRU Saputra, CX Lu, PPB de Gusmao, B Wang, A Markham, N Trigoni IEEE Transactions on Robotics 38 (3), 1875-1893, 2021 | 29 | 2021 |
| Radarloc: Learning to relocalize in fmcw radar W Wang, PPB de Gusmão, B Yang, A Markham, N Trigoni 2021 IEEE International Conference on Robotics and Automation (ICRA), 5809-5815, 2021 | 27 | 2021 |
| 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 | 25 | 2021 |
| Method and system for comparing images G Cordara, G Francini, S Lepsoy, PPB De Gusmao US Patent 9,008,424, 2015 | 18 | 2015 |
| Federated self-supervised learning for video understanding YAU Rehman, Y Gao, J Shen, PPB de Gusmao, N Lane European Conference on Computer Vision, 506-522, 2022 | 17 | 2022 |
Nicholas LaneUniversity of Cambridge and Flower LabsVerified email at cam.ac.uk
