Javier Fernández-Marqués

42 papers A* 5A 2B 1Misc 2Journal 25Unranked 7

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Building Privacy-and-Security-Focused Federated Learning Infrastructure for Global Multi-Centre Healthcare Research. CoRR Fan Zhang, Daniel Kreuter, Javier Fernández-Marqués, BloodCounts Consortium, Gregory Verghese, Bernard Butler, Nicholas D. Lane, Suthesh Sivapalaratnam, Joseph Taylor, Norbert C. J. de Wit, Nicholas S. Gleadall, Carola-Bibiane Schönlieb, Michael Roberts
2026	J	`jnl`	Mixture of Predefined Experts: Maximizing Data Usage on Vertical Federated Learning. CoRR Jon Irureta, Gorka Azkune, Jon Imaz, Aizea Lojo, Javier Fernández-Marqués
2026	J	`jnl`	Towards active participant centric vertical federated learning: Some representations may be all you need. Knowl. Based Syst. Jon Irureta, Jon Imaz, Aizea Lojo, Javier Fernández-Marqués, Iñigo Perona, Marco González
2025	J	`jnl`	FlowerTune: A Cross-Domain Benchmark for Federated Fine-Tuning of Large Language Models. CoRR Yan Gao, Massimo Roberto Scamarcia, Javier Fernández-Marqués, Mohammad Naseri, Chong Shen Ng, Dimitris Stripelis, Zexi Li, Tao Shen, Jiamu Bai, Daoyuan Chen, Zikai Zhang, Rui Hu, Inseo Song, KangYoon Lee, Hong Jia, Ting Dang, Junyan Wang, Zheyuan Liu, Daniel J. Beutel, Lingjuan Lyu, Nicholas D. Lane
2025	J	`jnl`	PQA: Exploring the Potential of Product Quantization in DNN Hardware Acceleration. ACM Trans. Reconfigurable Technol. Syst. Ahmed F. AbouElhamayed, Angela Cui, Javier Fernández-Marqués, Nicholas D. Lane, Mohamed S. Abdelfattah
2024	A*	`conf`	Privacy-Preserving Federated Learning using Flower Framework. KDD Mohammad Naseri, Javier Fernández-Marqués, Yan Gao, Heng Pan
2024	A*	`conf`	Recurrent Early Exits for Federated Learning with Heterogeneous Clients. ICML Royson Lee, Javier Fernández-Marqués, Shell Xu Hu, Da Li, Stefanos Laskaridis, Lukasz Dudziak, Timothy M. Hospedales, Ferenc Huszár, Nicholas Donald Lane
2024	J	`jnl`	Recurrent Early Exits for Federated Learning with Heterogeneous Clients. CoRR Royson Lee, Javier Fernández-Marqués, Shell Xu Hu, Da Li, Stefanos Laskaridis, Lukasz Dudziak, Timothy M. Hospedales, Ferenc Huszár, Nicholas D. Lane
2024	J	`jnl`	Supercharging Federated Learning with Flower and NVIDIA FLARE. CoRR 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
2023	J	`jnl`	A First Look into the Carbon Footprint of Federated Learning. J. Mach. Learn. Res. Xinchi Qiu, Titouan Parcollet, Javier Fernández-Marqués, Pedro P. B. de Gusmao, Yan Gao, Daniel J. Beutel, Taner Topal, Akhil Mathur, Nicholas D. Lane
2023	J	`jnl`	Are We There Yet? Product Quantization and its Hardware Acceleration. CoRR Javier Fernández-Marqués, Ahmed F. AbouElhamayed, Nicholas D. Lane, Mohamed S. Abdelfattah
2023	J	`jnl`	High-throughput Simulation of Federated Learning via Resource-Aware Client Placement. CoRR Lorenzo Sani, Pedro Porto Buarque de Gusmão, Alex Iacob, Wanru Zhao, Xinchi Qiu, Yan Gao, Javier Fernández-Marqués, Nicholas Donald Lane
2023	J	`jnl`	How Much Is Hidden in the NAS Benchmarks? Few-Shot Adaptation of a NAS Predictor. CoRR Hrushikesh Loya, Lukasz Dudziak, Abhinav Mehrotra, Royson Lee, Javier Fernández-Marqués, Nicholas D. Lane, Hongkai Wen
2023	J	`jnl`	Mitigating Memory Wall Effects in CNN Engines with On-the-Fly Weights Generation. CoRR Stylianos I. Venieris, Javier Fernández-Marqués, Nicholas D. Lane
2023	J	`jnl`	Mitigating Memory Wall Effects in CNN Engines with On-the-Fly Weights Generation. ACM Trans. Design Autom. Electr. Syst. Stylianos I. Venieris, Javier Fernández-Marqués, Nicholas D. Lane
2022	—	`conf`	Deep learning on microcontrollers: a study on deployment costs and challenges. EuroMLSys@EuroSys Filip Svoboda, Javier Fernández-Marqués, Edgar Liberis, Nicholas D. Lane
2022	Misc	`conf`	End-to-End Speech Recognition from Federated Acoustic Models. ICASSP Yan Gao, Titouan Parcollet, Salah Zaiem, Javier Fernández-Marqués, Pedro P. B. de Gusmao, Daniel J. Beutel, Nicholas D. Lane
2022	J	`jnl`	Federated Learning for Inference at Anytime and Anywhere. CoRR Zicheng Liu, Da Li, Javier Fernández-Marqués, Stefanos Laskaridis, Yan Gao, Lukasz Dudziak, Stan Z. Li, Shell Xu Hu, Timothy M. Hospedales
2022	A	`conf`	Federated Self-supervised Speech Representations: Are We There Yet? INTERSPEECH Yan Gao, Javier Fernández-Marqués, Titouan Parcollet, Abhinav Mehrotra, Nicholas D. Lane
2022	J	`jnl`	Federated Self-supervised Speech Representations: Are We There Yet? CoRR Yan Gao, Javier Fernández-Marqués, Titouan Parcollet, Abhinav Mehrotra, Nicholas D. Lane
2022	J	`jnl`	FedorAS: Federated Architecture Search under system heterogeneity. CoRR Lukasz Dudziak, Stefanos Laskaridis, Javier Fernández-Marqués
2022	—	`conf`	Match to Win: Analysing Sequences Lengths for Efficient Self-Supervised Learning in Speech and Audio. SLT Yan Gao, Javier Fernández-Marqués, Titouan Parcollet, Pedro P. B. de Gusmao, Nicholas D. Lane
2022	J	`jnl`	Match to Win: Analysing Sequences Lengths for Efficient Self-supervised Learning in Speech and Audio. CoRR Yan Gao, Javier Fernández-Marqués, Titouan Parcollet, Pedro P. B. de Gusmao, Nicholas D. Lane
2022	J	`jnl`	Protea: Client Profiling within Federated Systems using Flower. CoRR Wanru Zhao, Xinchi Qiu, Javier Fernández-Marqués, Pedro Porto Buarque de Gusmão, Nicholas D. Lane
2022	—	`conf`	Protea: client profiling within federated systems using flower. FedEdge@MobiCom Wanru Zhao, Xinchi Qiu, Javier Fernández-Marqués, Pedro P. B. de Gusmao, Nicholas D. Lane
2022	A*	`conf`	ZeroFL: Efficient On-Device Training for Federated Learning with Local Sparsity. ICLR Xinchi Qiu, Javier Fernández-Marqués, Pedro P. B. de Gusmao, Yan Gao, Titouan Parcollet, Nicholas Donald Lane
2022	J	`jnl`	ZeroFL: Efficient On-Device Training for Federated Learning with Local Sparsity. CoRR Xinchi Qiu, Javier Fernández-Marqués, Pedro Porto Buarque de Gusmão, Yan Gao, Titouan Parcollet, Nicholas Donald Lane
2021	J	`jnl`	A first look into the carbon footprint of federated learning. CoRR Xinchi Qiu, Titouan Parcollet, Javier Fernández-Marqués, Pedro Porto Buarque de Gusmão, Daniel J. Beutel, Taner Topal, Akhil Mathur, Nicholas D. Lane
2021	A*	`conf`	Degree-Quant: Quantization-Aware Training for Graph Neural Networks. ICLR Shyam Anil Tailor, Javier Fernández-Marqués, Nicholas Donald Lane
2021	J	`jnl`	End-to-End Speech Recognition from Federated Acoustic Models. CoRR Yan Gao, Titouan Parcollet, Javier Fernández-Marqués, Pedro P. B. de Gusmao, Daniel J. Beutel, Nicholas D. Lane
2021	J	`jnl`	On-device Federated Learning with Flower. CoRR Akhil Mathur, Daniel J. Beutel, Pedro Porto Buarque de Gusmão, Javier Fernández-Marqués, Taner Topal, Xinchi Qiu, Titouan Parcollet, Yan Gao, Nicholas D. Lane
2021	Misc	`conf`	unzipFPGA: Enhancing FPGA-based CNN Engines with On-the-Fly Weights Generation. FCCM Stylianos I. Venieris, Javier Fernández-Marqués, Nicholas D. Lane
2021	J	`jnl`	unzipFPGA: Enhancing FPGA-based CNN Engines with On-the-Fly Weights Generation. CoRR Stylianos I. Venieris, Javier Fernández-Marqués, Nicholas D. Lane
2020	J	`jnl`	Degree-Quant: Quantization-Aware Training for Graph Neural Networks. CoRR Shyam A. Tailor, Javier Fernández-Marqués, Nicholas D. Lane
2020	—	`conf`	Searching for Winograd-aware Quantized Networks. MLSys Javier Fernández-Marqués, Paul N. Whatmough, Andrew Mundy, Matthew Mattina
2020	J	`jnl`	Searching for Winograd-aware Quantized Networks. CoRR Javier Fernández-Marqués, Paul N. Whatmough, Andrew Mundy, Matthew Mattina
2019	—	`conf`	An Empirical study of Binary Neural Networks' Optimisation. ICLR (Poster) Milad Alizadeh, Javier Fernández-Marqués, Nicholas D. Lane, Yarin Gal
2018	A*	`conf`	Deterministic Binary Filters for Convolutional Neural Networks. IJCAI Vincent W. S. Tseng, Sourav Bhattacharya, Javier Fernández-Marqués, Milad Alizadeh, Catherine Tong, Nicholas D. Lane
2018	A	`conf`	Deterministic binary filters for keyword spotting applications. MobiSys Javier Fernández-Marqués, Vincent W. S. Tseng, Sourav Bhattacharya, Nicholas D. Lane
2018	—	`conf`	On-the-fly deterministic binary filters for memory efficient keyword spotting applications on embedded devices. EMDL@MobiSys Javier Fernández-Marqués, Vincent W. S. Tseng, Sourav Bhattacharya, Nicholas D. Lane
2015	—	`conf`	Characterization of the role of collagen network structure and composition in cancer cell migration. EMBC María Anguiano, Carlos Castilla, Martin Maska, Cristina Ederra, Javier Fernández-Marqués, Rafael Peláez, Ana Rouzaut, Arrate Muñoz-Barrutia, Michal Kozubek, Carlos Ortiz-de-Solorzano
2015	B	`conf`	Quantification of the 3D collagen network geometry in confocal reflection microscopy. ICIP Martin Maska, Cristina Ederra, Javier Fernández-Marqués, Arrate Muñoz-Barrutia, Michal Kozubek, Carlos Ortiz-de-Solorzano