Javier Fernández-Marqués

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 34

Top Topics

Convolutional Neural Networks

Memory Efficient

Linearly Combined

Supervised Learning

Top Venues

Publications

Mohammad Naseri, Javier Fernández-Marqués, Yan Gao, Heng Pan
Privacy-Preserving Federated Learning using Flower Framework. KDD (2024)
Holger R. Roth, Daniel J. Beutel, Yan Cheng, Javier Fernández-Marqués, Heng Pan, Chester Chen, Zhihong Zhang, Yuhong Wen, Sean Yang, Isaac Yang, Yuan-Ting Hsieh, Ziyue Xu, Daguang Xu, Nicholas D. Lane, Andrew Feng
Supercharging Federated Learning with Flower and NVIDIA FLARE. CoRR (2024)
Royson Lee, Javier Fernández-Marqués, Shell Xu Hu, Da Li, Stefanos Laskaridis, Lukasz Dudziak, Timothy M. Hospedales, Ferenc Huszár, Nicholas D. Lane
Recurrent Early Exits for Federated Learning with Heterogeneous Clients. CoRR (2024)
Stylianos I. Venieris, Javier Fernández-Marqués, Nicholas D. Lane
Mitigating Memory Wall Effects in CNN Engines with On-the-Fly Weights Generation. ACM Trans. Design Autom. Electr. Syst. 28 (6) (2023)
Hrushikesh Loya, Lukasz Dudziak, Abhinav Mehrotra, Royson Lee, Javier Fernández-Marqués, Nicholas D. Lane, Hongkai Wen
How Much Is Hidden in the NAS Benchmarks? Few-Shot Adaptation of a NAS Predictor. CoRR (2023)
Stylianos I. Venieris, Javier Fernández-Marqués, Nicholas D. Lane
Mitigating Memory Wall Effects in CNN Engines with On-the-Fly Weights Generation. CoRR (2023)
Xinchi Qiu, Titouan Parcollet, Javier Fernández-Marqués, Pedro P. B. de Gusmao, Yan Gao, Daniel J. Beutel, Taner Topal, Akhil Mathur, Nicholas D. Lane
A First Look into the Carbon Footprint of Federated Learning. J. Mach. Learn. Res. 24 (2023)
Yan Gao, Titouan Parcollet, Salah Zaiem, Javier Fernández-Marqués, Pedro P. B. de Gusmao, Daniel J. Beutel, Nicholas D. Lane
End-to-End Speech Recognition from Federated Acoustic Models. ICASSP (2022)
Yan Gaol, Javier Fernández-Marqués, Titouan Parcollet, Pedro P. B. de Gusmao, Nicholas D. Lane
Match to Win: Analysing Sequences Lengths for Efficient Self-Supervised Learning in Speech and Audio. SLT (2022)
Yan Gao, Javier Fernández-Marqués, Titouan Parcollet, Abhinav Mehrotra, Nicholas D. Lane
Federated Self-supervised Speech Representations: Are We There Yet? INTERSPEECH (2022)
Xinchi Qiu, Javier Fernández-Marqués, Pedro Porto Buarque de Gusmão, Yan Gao, Titouan Parcollet, Nicholas Donald Lane
ZeroFL: Efficient On-Device Training for Federated Learning with Local Sparsity. CoRR (2022)
Xinchi Qiu, Javier Fernández-Marqués, Pedro P. B. Gusmao, Yan Gao, Titouan Parcollet, Nicholas Donald Lane
ZeroFL: Efficient On-Device Training for Federated Learning with Local Sparsity. ICLR (2022)
Yan Gao, Javier Fernández-Marqués, Titouan Parcollet, Abhinav Mehrotra, Nicholas D. Lane
Federated Self-supervised Speech Representations: Are We There Yet? CoRR (2022)
Wanru Zhao, Xinchi Qiu, Javier Fernández-Marqués, Pedro P. B. de Gusmao, Nicholas D. Lane
Protea: client profiling within federated systems using flower. FedEdge@MobiCom (2022)
Lukasz Dudziak, Stefanos Laskaridis, Javier Fernández-Marqués
FedorAS: Federated Architecture Search under system heterogeneity. CoRR (2022)
Wanru Zhao, Xinchi Qiu, Javier Fernández-Marqués, Pedro Porto Buarque de Gusmão, Nicholas D. Lane
Protea: Client Profiling within Federated Systems using Flower. CoRR (2022)
Yan Gao, Javier Fernández-Marqués, Titouan Parcollet, Pedro P. B. de Gusmao, Nicholas D. Lane
Match to Win: Analysing Sequences Lengths for Efficient Self-supervised Learning in Speech and Audio. CoRR (2022)
Filip Svoboda, Javier Fernández-Marqués, Edgar Liberis, Nicholas D. Lane
Deep learning on microcontrollers: a study on deployment costs and challenges. EuroMLSys@EuroSys (2022)
Zicheng Liu, Da Li, Javier Fernández-Marqués, Stefanos Laskaridis, Yan Gao, Lukasz Dudziak, Stan Z. Li, Shell Xu Hu, Timothy M. Hospedales
Federated Learning for Inference at Anytime and Anywhere. CoRR (2022)
Stylianos I. Venieris, Javier Fernández-Marqués, Nicholas D. Lane
unzipFPGA: Enhancing FPGA-based CNN Engines with On-the-Fly Weights Generation. FCCM (2021)
Shyam Anil Tailor, Javier Fernández-Marqués, Nicholas Donald Lane
Degree-Quant: Quantization-Aware Training for Graph Neural Networks. ICLR (2021)
Stylianos I. Venieris, Javier Fernández-Marqués, Nicholas D. Lane
unzipFPGA: Enhancing FPGA-based CNN Engines with On-the-Fly Weights Generation. CoRR (2021)
Yan Gao, Titouan Parcollet, Javier Fernández-Marqués, Pedro P. B. de Gusmao, Daniel J. Beutel, Nicholas D. Lane
End-to-End Speech Recognition from Federated Acoustic Models. CoRR (2021)
Xinchi Qiu, Titouan Parcollet, Javier Fernández-Marqués, Pedro Porto Buarque de Gusmão, Daniel J. Beutel, Taner Topal, Akhil Mathur, Nicholas D. Lane
A first look into the carbon footprint of federated learning. CoRR (2021)
Akhil Mathur, Daniel J. Beutel, Pedro Porto Buarque de Gusmão, Javier Fernández-Marqués, Taner Topal, Xinchi Qiu, Titouan Parcollet, Yan Gao, Nicholas D. Lane
On-device Federated Learning with Flower. CoRR (2021)
Javier Fernández-Marqués, Paul N. Whatmough, Andrew Mundy, Matthew Mattina
Searching for Winograd-aware Quantized Networks. CoRR (2020)
Javier Fernández-Marqués, Paul N. Whatmough, Andrew Mundy, Matthew Mattina
Searching for Winograd-aware Quantized Networks. MLSys (2020)
Shyam A. Tailor, Javier Fernández-Marqués, Nicholas D. Lane
Degree-Quant: Quantization-Aware Training for Graph Neural Networks. CoRR (2020)
Milad Alizadeh, Javier Fernández-Marqués, Nicholas D. Lane, Yarin Gal
An Empirical study of Binary Neural Networks' Optimisation. ICLR (Poster) (2019)
Javier Fernández-Marqués, Vincent W. S. Tseng, Sourav Bhattacharya, Nicholas D. Lane
On-the-fly deterministic binary filters for memory efficient keyword spotting applications on embedded devices. EMDL@MobiSys (2018)
Vincent W. S. Tseng, Sourav Bhattacharya, Javier Fernández-Marqués, Milad Alizadeh, Catherine Tong, Nicholas D. Lane
Deterministic Binary Filters for Convolutional Neural Networks. IJCAI (2018)
Javier Fernández-Marqués, Vincent W. S. Tseng, Sourav Bhattacharya, Nicholas D. Lane
Deterministic binary filters for keyword spotting applications. MobiSys (2018)
Martin Maska, Cristina Ederra, Javier Fernández-Marqués, Arrate Muñoz-Barrutia, Michal Kozubek, Carlos Ortiz-de-Solorzano
Quantification of the 3D collagen network geometry in confocal reflection microscopy. ICIP (2015)
María Anguiano, Carlos Castilla, Martin Maska, Cristina Ederra, Javier Fernández-Marqués, Rafael Peláez, Ana Rouzaut, Arrate Muñoz-Barrutia, Michal Kozubek, Carlos Ortiz-de-Solorzano
Characterization of the role of collagen network structure and composition in cancer cell migration. EMBC (2015)