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Differentiable Network Pruning for Microcontrollers


Oct 15, 2021
Edgar Liberis, Nicholas D. Lane


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Smart at what cost? Characterising Mobile Deep Neural Networks in the wild


Sep 28, 2021
Mario Almeida, Stefanos Laskaridis, Abhinav Mehrotra, Lukasz Dudziak, Ilias Leontiadis, Nicholas D. Lane

* Accepted at the ACM Internet Measurement Conference (IMC), 2021 

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AgreementLearning: An End-to-End Framework for Learning with Multiple Annotators without Groundtruth


Sep 08, 2021
Chongyang Wang, Yuan Gao, Chenyou Fan, Junjie Hu, Tin Lun Lam, Nicholas D. Lane, Nadia Bianchi-Berthouze

* Submitted to AAAI'22 

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Temporal Kernel Consistency for Blind Video Super-Resolution


Aug 18, 2021
Lichuan Xiang, Royson Lee, Mohamed S. Abdelfattah, Nicholas D. Lane, Hongkai Wen


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Zero-Cost Proxies Meet Differentiable Architecture Search


Jun 12, 2021
Lichuan Xiang, Łukasz Dudziak, Mohamed S. Abdelfattah, Thomas Chau, Nicholas D. Lane, Hongkai Wen


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Adaptive Inference through Early-Exit Networks: Design, Challenges and Directions


Jun 09, 2021
Stefanos Laskaridis, Alexandros Kouris, Nicholas D. Lane

* Accepted at the 5th Annual International Workshop on Embedded and Mobile Deep Learning (EMDL), 2021 

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Deep Neural Network-based Enhancement for Image and Video Streaming Systems: A Survey and Future Directions


Jun 07, 2021
Royson Lee, Stylianos I. Venieris, Nicholas D. Lane

* Accepted for publication at the ACM Computing Surveys (CSUR) journal, 2021. arXiv admin note: text overlap with arXiv:2010.05838 

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Multi-Exit Semantic Segmentation Networks


Jun 07, 2021
Alexandros Kouris, Stylianos I. Venieris, Stefanos Laskaridis, Nicholas D. Lane


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End-to-End Speech Recognition from Federated Acoustic Models


Apr 29, 2021
Yan Gao, Titouan Parcollet, Javier Fernandez-Marques, Pedro P. B. de Gusmao, Daniel J. Beutel, Nicholas D. Lane


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DynO: Dynamic Onloading of Deep Neural Networks from Cloud to Device


Apr 20, 2021
Mario Almeida, Stefanos Laskaridis, Stylianos I. Venieris, Ilias Leontiadis, Nicholas D. Lane

* Under review 

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Adaptive Filters and Aggregator Fusion for Efficient Graph Convolutions


Apr 10, 2021
Shyam A. Tailor, Felix L. Opolka, Pietro Liò, Nicholas D. Lane

* Short versions to appear at the GNNSys Workshop at MLSys 2021 and the Hardware-Aware Efficient Training Workshop at ICLR 2021 

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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

* 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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unzipFPGA: Enhancing FPGA-based CNN Engines with On-the-Fly Weights Generation


Apr 03, 2021
Stylianos I. Venieris, Javier Fernandez-Marques, Nicholas D. Lane

* Accepted at the 29th IEEE International Symposium on Field-Programmable Custom Computing Machines (FCCM) 2021 

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FjORD: Fair and Accurate Federated Learning under heterogeneous targets with Ordered Dropout


Mar 01, 2021
Samuel Horvath, Stefanos Laskaridis, Mario Almeida, Ilias Leontiadis, Stylianos I. Venieris, Nicholas D. Lane


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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

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

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It's always personal: Using Early Exits for Efficient On-Device CNN Personalisation


Feb 02, 2021
Ilias Leontiadis, Stefanos Laskaridis, Stylianos I. Venieris, Nicholas D. Lane

* Accepted at the 22nd International Workshop on Mobile Computing Systems and Applications (HotMobile), 2021 

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Zero-Cost Proxies for Lightweight NAS


Jan 20, 2021
Mohamed S. Abdelfattah, Abhinav Mehrotra, Łukasz Dudziak, Nicholas D. Lane

* accepted at ICLR 2021 

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Leveraging Activity Recognition to Enable Protective Behavior Detection in Continuous Data


Nov 16, 2020
Chongyang Wang, Yuan Gao, Akhil Mathur, Amanda C. De C. Williams, Nicholas D. Lane, Nadia Bianchi-Berthouze


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$μ$NAS: Constrained Neural Architecture Search for Microcontrollers


Nov 04, 2020
Edgar Liberis, Łukasz Dudziak, Nicholas D. Lane

* $\mu$NAS is available at https://github.com/eliberis/uNAS v2 change: corrected baseline, expanded text 

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Neural Enhancement in Content Delivery Systems: The State-of-the-Art and Future Directions


Oct 22, 2020
Royson Lee, Stylianos I. Venieris, Nicholas D. Lane

* Accepted at the 1st Workshop on Distributed Machine Learning at CoNEXT 2020 (DistributedML 2020) 

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Deep Learning in the Era of Edge Computing: Challenges and Opportunities


Oct 17, 2020
Mi Zhang, Faen Zhang, Nicholas D. Lane, Yuanchao Shu, Xiao Zeng, Biyi Fang, Shen Yan, Hui Xu


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Libri-Adapt: A New Speech Dataset for Unsupervised Domain Adaptation


Sep 06, 2020
Akhil Mathur, Fahim Kawsar, Nadia Berthouze, Nicholas D. Lane

* 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Barcelona, Spain, 2020, pp. 7439-7443 
* 5 pages, Published at IEEE ICASSP 2020 

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