Publications
2023
- Javier Fernandez-Marques, Ahmed F. AbouElhamayed, Nicholas D. Lane and Mohamed S. Abdelfattah. “Are We There Yet? Product Quantization and its Hardware Acceleration” [arXiv]
2022
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Lukasz Dudziak*, Stefanos Laskaridis*, Javier Fernandez-Marques*. “FedorAS: Federated Architecture Search under system heterogeneity” [arXiv]
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Zicheng Liu, Da Li, Javier Fernandez-Marques, Stefanos Laskaridis, Yan Gao, Łukasz Dudziak, Stan Z Li, Shell Xu Hu, Timothy Hospedales “Federated Learning for Inference at Anytime and Anywhere” [arXiv]
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Yan Gao, Javier Fernandez-Marques, Titouan Parcollet, Pedro Porto Buarque de Gusmao and Nicholas D. Lane. “Match to Win: Analysing Sequences Lengths for Efficient Self-supervised Learning in Speech and Audio” IEEE SLT 2022 [arXiv]
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Yan Gao, Javier Fernandez-Marques, Titouan Parcollet, Abhinav Mehrotra and Nicholas D. Lane. “Federated Self-supervised Speech Representations: Are We There Yet?” INTERSPEECH 2022 [arXiv]
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Xinchi Qiu*, Javier Fernandez-Marques*, Pedro Porto Buarque de Gusmao, Yan Gao, Titouan Parcollet, and Nicholas D. Lane. “ZeroFL: Efficient On-Device Training for Federated Learning with Local Sparsity”. International Conference on Learning Representatioins (ICLR), 2022 [OpenReviw]
2021
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Akhil Mathur, Daniel J. Beutel, Pedro Porto Buarque de Gusmão, Javier Fernandez-Marques, Taner Topal, Xinchi Qiu, Titouan Parcollet, Yan Gao and Nicholas D. Lane. “On-device Federated Learning with Flower”. In 2nd On-device Intelligence Workshop (MLSys) 2021 [arXiv]
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Yan Gao, Titouan Parcollet, Salah Zaiem, Javier Fernandez-Marques, Pedro P. B. de Gusmao, Daniel J. Beutel and Nicholas D. Lane. “End-to-End Speech Recognition from Federated Acoustic Models” [arXiv]
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Xinchi Qiu, Titouan Parcollet, Javier Fernandez-Marques, Pedro Porto Buarque de Gusmao, Daniel J. Beutel, Taner Topal, Akhil Mathur and Nicholas D. Lane. “A First Look into the Carbon Footprint of Federated Learning” [arXiv]
2020
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Stylianos I. Venieris*, Javier Fernandez-Marques* and Nicholas D. Lane. “unzipFPGA: Enhancing FPGA-based CNN Engines with On-the-fly Weights Generation.” IEEE International Symposium on Field-Programmable Custom Computing Machines (FCCM), 2021 [arXiv]
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Shyam A. Tailor*, Javier Fernandez-Marques* and Nicholas D. Lane. “Degree-Quant: Quantization-Aware Training for Graph Neural Networks.” International Conference on Learning Representations (ICLR), 2021 [arXiv]. Also in Graph Representation Learning and Beyond Workshop (ICMLw), 2020 [Link]
2019
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Javier Fernandez-Marques, Paul N. Whatmough, Andrew Mundy and Matthew Mattina. “Searching for Winograd-aware Quantized Networks.” Conference on Machine Learning and Systems (MLSys), 2020 [Link]
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Milad Alizadeh, Javier Fernandez-Marques, Nicholas D. Lane and Yarin Gal. “A Systematic Study of Binary Neural Networks’ Optimisation.” International Conference on Learning Representations (ICLR), 2019 [Link]
2018
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Javier Fernandez-Marques, Vincent W.-S. Tseng, Sourav Bhattacharya and Nicholas D. Lane. “On-the-fly deterministic binary filters for memory efficient keyword spotting applications on embedded devices”. International Workshop on Embedded and Mobile Deep Learning (EMDL-MobiSys), 2018 [Link]
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Javier Fernandez-Marques, Vincent W.-S. Tseng, Sourav Bhattacharya and Nicholas D. Lane. “BinaryCmd: Keyword Spotting with deterministic binary basis”. Conference on Systems and Machine Learning (SysML), 2018 [Link]
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Vincent Tseng, S. Bhattacharya, Javier Fernandez-Marques, Milad Alizadeh, Catherine Tong and Nicholas D. Lane. “Deterministic Binary Filters for Convolutional Neural Networks.” International Joint Conference on Artificial Intelligence (IJCAI), 2018 [Link]
2015
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Marting Maška, Cristina Ederra, Javier Fernandez-Marques, Arrate Muñoz-Barrutia, Michal Kozubek and Carlos Ortiz-de-Solórzano. “Quantification of the 3D Collagen Network Geometry in Confocal Reflection Microscopy”. International Conference on Image Processing (ICIP), 2015 [Link]
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Maria Anguiano, Carlos Castilla, Martin Maška, Cristina Ederra, Javier Fernandez-Marques, R.Peláez, Ana Rozaut, Arrate Muñoz-Barrutia, M. Kozubek and Carlos Ortiz-de-Solórzano. “Characterization of the Role of Collagen Network Structure and Composition in Cancer Cell Migration”. International conf. of the IEEE Engineering in Medicine and Biology Society (EMBC), 2015 [Link]