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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, J Fernandez-Marques, Y Gao, L Sani, ...
arXiv preprint arXiv:2007.14390, 2020
7162020
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
662021
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
482021
On-device federated learning with flower
A Mathur, DJ Beutel, PPB de Gusmao, J Fernandez-Marques, T Topal, ...
arXiv preprint arXiv:2104.03042, 2021
402021
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
262020
Quaternion Neural Networks for Multi-channel Distant Speech Recognition
X Qiu, T Parcollet, M Ravanelli, N Lane, M Morchid
Interspeech 2020, 2020
162020
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
62023
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
62022
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
52023
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
5*2023
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
42024
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
32023
EXACT: Extensive Attack for Split Learning
X Qiu, I Leontiadis, L Melis, A Sablayrolles, P Stock
arXiv preprint arXiv:2305.12997, 2023
32023
FusionRNN: Shared Neural Parameters for Multi-Channel Distant Speech Recognition
T Parcollet, X Qiu, N Lane
Interspeech 2020, 1678-1682, 2020
12020
Sheaf HyperNetworks for Personalized Federated Learning
B Nguyen, L Sani, X Qiu, P Liò, ND Lane
arXiv preprint arXiv:2405.20882, 2024
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
2024
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
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
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