| 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 | 1086 | 2020 |
| SpeechBrain: A general-purpose speech toolkit M Ravanelli, T Parcollet, P Plantinga, A Rouhe, S Cornell, L Lugosch, ... arXiv preprint arXiv:2106.04624, 2021 | 896 | 2021 |
| Imutube: Automatic extraction of virtual on-body accelerometry from video for human activity recognition H Kwon, C Tong, H Haresamudram, Y Gao, GD Abowd, ND Lane, ... Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous …, 2020 | 164 | 2020 |
| A first look into the carbon footprint of federated learning X Qiu, T Parcollet, J Fernandez-Marques, PPB de Gusmao, Y Gao, ... arXiv preprint arXiv:2102.07627, 2021 | 101 | 2021 |
| ZeroFL: Efficient On-Device Training for Federated Learning with Local Sparsity X Qiu, J Fernandez-Marques, PP Gusmao, Y Gao, T Parcollet, ND Lane International Conference on Learning Representations (ICLR), 2022 | 75 | 2022 |
| Towards reliable, automated general movement assessment for perinatal stroke screening in infants using wearable accelerometers Y Gao, Y Long, Y Guan, A Basu, J Baggaley, T Ploetz Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous …, 2019 | 64 | 2019 |
| Robust cross-view gait identification with evidence: A discriminant gait gan (diggan) approach on 10000 people BZ Hu*, Y Gao*, Y Guan, Y Long, N Lane, T Ploetz | 58* | 2018 |
| On-device federated learning with flower A Mathur, DJ Beutel, PPB de Gusmao, J Fernandez-Marques, T Topal, ... arXiv preprint arXiv:2104.03042, 2021 | 50 | 2021 |
| 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 | 49 | 2022 |
| L-DAWA: Layer-wise Divergence Aware Weight Aggregation in Federated Self-Supervised Visual Representation Learning YAU Rehman*, Y Gao*, PPB de Gusmão, M Alibeigi, J Shen, ND Lane ICCV 2023, 2023 | 22 | 2023 |
| Federated Self-supervised Learning for Video Understanding YAU Rehman*, Y Gao*, J Shen, PPB de Gusmao, N Lane ECCV 2022, 2022 | 20 | 2022 |
| Federated Self-supervised Speech Representations: Are We There Yet? Y Gao, J Fernandez-Marques, T Parcollet, A Mehrotra, ND Lane INTERSPEECH 2022, 2022 | 16 | 2022 |
| Distilling knowledge from ensembles of acoustic models for joint CTC-attention end-to-end speech recognition Y Gao, T Parcollet, ND Lane 2021 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU …, 2021 | 16 | 2021 |
| Method and system for automatic extraction of virtual on-body inertial measurement units H Kwon, GD Abowd, HK Haresamudram, T Ploetz, EGC Tong, Y Gao, ... US Patent 12,236,616, 2025 | 15 | 2025 |
| Breaking physical and linguistic borders: Multilingual federated prompt tuning for low-resource languages W Zhao, Y Chen, R Lee, X Qiu, Y Gao, H Fan, ND Lane The Twelfth International Conference on Learning Representations, 2024 | 15 | 2024 |
| The future of large language model pre-training is federated L Sani, A Iacob, Z Cao, B Marino, Y Gao, T Paulik, W Zhao, WF Shen, ... arXiv preprint arXiv:2405.10853, 2024 | 13 | 2024 |
| Using QC-Blind for quality control and contamination screening of bacteria DNA sequencing data without reference genome W Xi*, Y Gao*, Z Cheng, C Chen, M Han, P Yang, G Xiong, K Ning Frontiers in microbiology, 1560, 2019 | 11 | 2019 |
| Match to Win: Analysing Sequences Lengths for Efficient Self-supervised Learning in Speech and Audio Y Gao, J Fernandez-Marques, T Parcollet, PPB de Gusmao, ND Lane SLT 2022, 2022 | 10 | 2022 |
| 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 | 8 | 2022 |
| Secure Vertical Federated Learning Under Unreliable Connectivity X Qiu, H Pan, W Zhao, Y Gao, PPB Gusmao, WF Shen, C Ma, ND Lane arXiv preprint arXiv:2305.16794, 2024 | 7* | 2024 |
Nicholas LaneUniversity of Cambridge and Flower LabsE-mailová adresa ověřena na: cam.ac.uk
