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Data Selection for Efficient Model Update in Federated Learning

Nov 05, 2021
Hongrui Shi, Valentin Radu

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Optimising the Performance of Convolutional Neural Networks across Computing Systems using Transfer Learning

Oct 20, 2020
Rik Mulder, Valentin Radu, Christophe Dubach

* 12 pages, 10 figures 

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TASO: Time and Space Optimization for Memory-Constrained DNN Inference

May 21, 2020
Yuan Wen, Andrew Anderson, Valentin Radu, Michael F. P. O'Boyle, David Gregg

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Performance Aware Convolutional Neural Network Channel Pruning for Embedded GPUs

Feb 20, 2020
Valentin Radu, Kuba Kaszyk, Yuan Wen, Jack Turner, Jose Cano, Elliot J. Crowley, Bjorn Franke, Amos Storkey, Michael O'Boyle

* A copy of this was published in IISWC'19 

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CamLoc: Pedestrian Location Detection from Pose Estimation on Resource-constrained Smart-cameras

Dec 28, 2018
Adrian Cosma, Ion Emilian Radoi, Valentin Radu

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HAKD: Hardware Aware Knowledge Distillation

Oct 24, 2018
Jack Turner, Elliot J. Crowley, Valentin Radu, José Cano, Amos Storkey, Michael O'Boyle

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Characterising Across-Stack Optimisations for Deep Convolutional Neural Networks

Sep 19, 2018
Jack Turner, José Cano, Valentin Radu, Elliot J. Crowley, Michael O'Boyle, Amos Storkey

* IISWC 2018 

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