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Xinchi Qiu
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Flower: A friendly federated learning research framework
DJ Beutel, T Topal, A Mathur, X Qiu, T Parcollet, PPB de Gusmão, ...
arXiv preprint arXiv:2007.14390, 2020
862020
A first look into the carbon footprint of federated learning
X Qiu, T Parcollet, J Fernandez-Marques, PPB de Gusmao, DJ Beutel, ...
arXiv preprint arXiv:2102.07627, 2021
132021
Quaternion Neural Networks for Multi-channel Distant Speech Recognition
X Qiu, T Parcollet, M Ravanelli, N Lane, M Morchid
Interspeech 2020, 2020
82020
On-device federated learning with flower
A Mathur, DJ Beutel, PPB de Gusmao, J Fernandez-Marques, T Topal, ...
arXiv preprint arXiv:2104.03042, 2021
72021
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
72020
FLOWER: A friendly federated learning framework
DJ Beutel, T Topal, A Mathur, X Qiu, J Fernandez-Marques, Y Gao, L Sani, ...
42022
FusionRNN: Shared Neural Parameters for Multi-Channel Distant Speech Recognition.
T Parcollet, X Qiu, ND Lane
INTERSPEECH, 1678-1682, 2020
12020
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
2021
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Articles 1–8