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Xinchi Qiu
Xinchi Qiu
Meta, University of Cambridge
Подтвержден адрес электронной почты в домене cam.ac.uk
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Процитировано
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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
10762020
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
962021
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
742021
On-device federated learning with flower
A Mathur, DJ Beutel, PPB de Gusmao, J Fernandez-Marques, T Topal, ...
arXiv preprint arXiv:2104.03042, 2021
492021
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
332020
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
222023
Quaternion Neural Networks for Multi-channel Distant Speech Recognition
X Qiu, T Parcollet, M Ravanelli, N Lane, M Morchid
Interspeech 2020, 2020
202020
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
152024
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
142023
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
132022
vfedsec: Efficient secure aggregation for vertical federated learning via secure layer
X Qiu, H Pan, W Zhao, C Ma, Y Gao, PPB de Gusmao, ND Lane
11*2023
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
102023
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
82024
Evaluating Privacy Leakage in Split Learning
X Qiu, I Leontiadis, L Melis, A Sablayrolles, P Stock
arXiv preprint arXiv:2305.12997, 2023
6*2023
FLea: Addressing Data Scarcity and Label Skew in Federated Learning via Privacy-preserving Feature Augmentation
T Xia, A Ghosh, X Qiu, C Mascolo
arXiv preprint arXiv:2312.02327, 2024
4*2024
PISTOL: Dataset Compilation Pipeline for Structural Unlearning of LLMs
X Qiu, WF Shen, Y Chen, N Cancedda, P Stenetorp, ND Lane
arXiv preprint arXiv:2406.16810, 2024
32024
Sheaf HyperNetworks for Personalized Federated Learning
B Nguyen, L Sani, X Qiu, P Liò, ND Lane
arXiv preprint arXiv:2405.20882, 2024
32024
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
32023
Photon: Federated LLM Pre-Training
L Sani, A Iacob, Z Cao, R Lee, B Marino, Y Gao, D Cai, Z Li, W Zhao, ...
arXiv preprint arXiv:2411.02908, 2024
12024
DEPT: Decoupled Embeddings for Pre-training Language Models
A Iacob, L Sani, M Kurmanji, WF Shen, X Qiu, D Cai, Y Gao, ND Lane
arXiv preprint arXiv:2410.05021, 2024
12024
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Статьи 1–20