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 | 700 | 2020 |
Degree-Quant: Quantization-Aware Training for Graph Neural Networks SA Tailor, J Fernandez-Marques, ND Lane International Conference on Learning Representations (ICLR), 2021 | 159 | 2021 |
An Empirical study of Binary Neural Networks' Optimisation M Alizadeh, J Fernández-Marqués, ND Lane, Y Gal International Conference on Learning Representations (ICLR), 2019 | 99 | 2019 |
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 | 70 | 2023 |
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 | 54 | 2022 |
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 | 41 | 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 | 40 | 2021 |
Searching for Winograd-aware Quantized Networks J Fernandez-Marques, PN Whatmough, A Mundy, M Mattina Conference on Machine Learning and Systems (MLSys), 2020 | 39 | 2020 |
Deterministic Binary Filters for Convolutional Neural Networks. VWS Tseng, S Bhattacharya, J Fernández-Marqués, M Alizadeh, C Tong, ... International Joint Conference on Artificial Intelligence (IJCAI), 2018 | 18 | 2018 |
Federated Self-supervised Speech Representations: Are We There Yet? Y Gao, J Fernandez-Marques, T Parcollet, A Mehrotra, ND Lane arXiv preprint arXiv:2204.02804, 2022 | 14 | 2022 |
Deep learning on microcontrollers: a study on deployment costs and challenges F Svoboda, J Fernandez-Marques, E Liberis, ND Lane Proceedings of the 2nd European Workshop on Machine Learning and Systems, 54-63, 2022 | 13 | 2022 |
unzipFPGA: Enhancing FPGA-based CNN Engines with On-the-Fly Weights Generation SI Venieris, J Fernandez-Marques, ND Lane IEEE International Symposium on Field-Programmable Custom Computing Machines …, 2021 | 11 | 2021 |
On-the-fly deterministic binary filters for memory efficient keyword spotting applications on embedded devices J Fernandez-Marques, VTS Tseng, S Bhattacharya, ND Lane Proceedings of the 2nd International Workshop on Deep Learning for Mobile …, 2018 | 11 | 2018 |
Match to win: Analysing sequences lengths for efficient self-supervised learning in speech and audio Y Gaol, J Fernandez-Marques, T Parcollet, PPB de Gusmao, ND Lane 2022 IEEE Spoken Language Technology Workshop (SLT), 115-122, 2023 | 8 | 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 | 8 | 2022 |
BinaryCmd: Keyword Spotting with deterministic binary basis J Fernandez-Marques, WST Vincent, S Bhattachara, ND Lane Conference on Machine Learning and Systems (MLSys), 2018 | 8 | 2018 |
FedorAS: Federated Architecture Search under system heterogeneity L Dudziak, S Laskaridis, J Fernandez-Marques arXiv preprint arXiv:2206.11239, 2022 | 7 | 2022 |
Characterization of the role of collagen network structure and composition in cancer cell migration M Anguiano, C Castilla, M Maška, C Ederra, J Fernández-Marqués, ... IEEE International Conference of Engineering in Medicine and Biology Society …, 2015 | 7 | 2015 |
Federated Learning for Inference at Anytime and Anywhere Z Liu, D Li, J Fernandez-Marques, S Laskaridis, Y Gao, Ł Dudziak, SZ Li, ... arXiv preprint arXiv:2212.04084, 2022 | 6 | 2022 |
Quantification of the 3D collagen network geometry in confocal reflection microscopy M Maska, C Ederra, J Fernández-Marqués, A Muñoz-Barrutia, M Kozubek, ... IEEE International Conference on Image Processing (ICIP), 2015 | 5 | 2015 |