Xinchi Qiu

EXACT: Extensive Attack for Split Learning

May 22, 2023
Xinchi Qiu, Ilias Leontiadis, Luca Melis, Alex Sablayrolles, Pierre Stock

* 10 pages

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Efficient Vertical Federated Learning with Secure Aggregation

May 18, 2023
Xinchi Qiu, Heng Pan, Wanru Zhao, Chenyang Ma, Pedro Porto Buarque de Gusmão, Nicholas D. Lane

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* Federated Learning Systems (FLSys) Workshop @ MLSys 2023

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Gradient-less Federated Gradient Boosting Trees with Learnable Learning Rates

May 02, 2023
Chenyang Ma, Xinchi Qiu, Daniel J. Beutel, Nicholas D. Lane

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* Accepted at the 3rd ACM Workshop on Machine Learning and Systems (EuroMLSys), May 8th 2023, Rome, Italy

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ZeroFL: Efficient On-Device Training for Federated Learning with Local Sparsity

Aug 04, 2022
Xinchi Qiu, Javier Fernandez-Marques, Pedro PB Gusmao, Yan Gao, Titouan Parcollet, Nicholas Donald Lane

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* International Conference on Learning Representations, 2022
* Published as a conference paper at ICLR 2022

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Protea: Client Profiling within Federated Systems using Flower

Jul 03, 2022
Wanru Zhao, Xinchi Qiu, Javier Fernandez-Marques, Pedro P. B. de Gusmão, Nicholas D. Lane

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On-device Federated Learning with Flower

Apr 07, 2021
Akhil Mathur, Daniel J. Beutel, Pedro Porto Buarque de Gusmão, Javier Fernandez-Marques, Taner Topal, Xinchi Qiu, Titouan Parcollet, Yan Gao, Nicholas D. Lane

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* On-device Intelligence Workshop at the Fourth Conference on Machine Learning and Systems (MLSys), April 9, 2021
* Accepted at the 2nd On-device Intelligence Workshop @ MLSys 2021. arXiv admin note: substantial text overlap with arXiv:2007.14390

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A first look into the carbon footprint of federated learning

Feb 15, 2021
Xinchi Qiu, Titouan Parcollet, Javier Fernandez-Marques, Pedro Porto Buarque de Gusmao, Daniel J. Beutel, Taner Topal, Akhil Mathur, Nicholas D. Lane

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* arXiv admin note: substantial text overlap with arXiv:2010.06537

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