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Nicholas D. Lane

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vFedSec: Efficient Secure Aggregation for Vertical Federated Learning via Secure Layer

May 26, 2023
Xinchi Qiu, Heng Pan, Wanru Zhao, Chenyang Ma, Pedro P. B. Gusmao, Nicholas D. Lane

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Privacy in Multimodal Federated Human Activity Recognition

May 20, 2023
Alex Iacob, Pedro P. B. Gusmão, Nicholas D. Lane, Armand K. Koupai, Mohammud J. Bocus, Raúl Santos-Rodríguez, Robert J. Piechocki, Ryan McConville

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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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Can Fair Federated Learning reduce the need for Personalisation?

May 04, 2023
Alex Iacob, Pedro P. B. Gusmão, Nicholas D. Lane

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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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A Federated Learning Benchmark for Drug-Target Interaction

Feb 15, 2023
Filip Svoboda, Gianluca Mittone, Nicholas D. Lane, Pietro Lio

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NAWQ-SR: A Hybrid-Precision NPU Engine for Efficient On-Device Super-Resolution

Dec 15, 2022
Stylianos I. Venieris, Mario Almeida, Royson Lee, Nicholas D. Lane

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Meta-Learned Kernel For Blind Super-Resolution Kernel Estimation

Dec 15, 2022
Royson Lee, Rui Li, Stylianos I. Venieris, Timothy Hospedales, Ferenc Huszár, Nicholas D. Lane

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Pex: Memory-efficient Microcontroller Deep Learning through Partial Execution

Nov 30, 2022
Edgar Liberis, Nicholas D. Lane

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