JF
Javier Fernandez-Marques
cs.LGcs.DCcs.CVcs.AIcs.ARcs.SDeess.AScs.SEstat.MLcs.CL
On Valency
published · living versionsW_u6w7p3d3·v1 · currentpublished
PCHMR: Empowering and Benchmarking Human Mesh Recovery in Privacy-Constrained Real-World Settings
with Zeyu Cao, Qingxuan Wu, Zhiyang Dou, Rui Xu +4
1 version
Preprints & journals
24 papers in the corpus · 2015–2026PCHMR: Empowering and Benchmarking Human Mesh Recovery in Privacy-Constrained Real-World Settings2610.24841v1 · Zeyu Cao, Qingxuan Wu, Zhiyang Dou et al.2026 · 0 citationsarXivon Valency
Flower Hub: A Reproducible Benchmarking Platform for Federated Learning in Simulation and Deployment2608.25114v1 · Yan Gao, Mohammad Naseri, Javier Fernandez-Marques et al.2026 · 0 citationsarXiv
Building Privacy-and-Security-Focused Federated Learning Infrastructure for Global Multi-Centre Healthcare Research2603.10063v1 · Fan Zhang, Daniel Kreuter, Javier Fernandez-Marques et al.2026 · 0 citationsarXiv
Mixture of Predefined Experts: Maximizing Data Usage on Vertical Federated Learning2602.12708v2 · Jon Irureta, Gorka Azkune, Jon Imaz et al.2026 · 0 citationsarXiv
FlowerTune: A Cross-Domain Benchmark for Federated Fine-Tuning of Large Language Models2506.02961v2 · Yan Gao, Massimo Roberto Scamarcia, Javier Fernandez-Marques et al.2025 · 1 citationarXiv
Towards Active Participant Centric Vertical Federated Learning: Some Representations May Be All You Need2410.17648v2 · Jon Irureta, Jon Imaz, Aizea Lojo et al.2024 · 0 citationsarXiv
Recurrent Early Exits for Federated Learning with Heterogeneous Clients2405.14791v2 · Royson Lee, Javier Fernandez-Marques, Shell Xu Hu et al.2024 · 3 citationsarXiv
Supercharging Federated Learning with Flower and NVIDIA FLARE2407.00031v2 · Holger R. Roth, Daniel J. Beutel, Yan Cheng et al.2024 · 4 citationsarXiv
How Much Is Hidden in the NAS Benchmarks? Few-Shot Adaptation of a NAS Predictor2311.18451v1 · Hrushikesh Loya, \Lukasz Dudziak, Abhinav Mehrotra et al.2023 · 0 citationsarXiv
Mitigating Memory Wall Effects in CNN Engines with On-the-Fly Weights Generation2307.13412v1 · Stylianos I. Venieris, Javier Fernandez-Marques, Nicholas D. Lane2023 · 3 citationsarXiv
Pollen: High-throughput Federated Learning Simulation via Resource-Aware Client Placement2306.17453v3 · Lorenzo Sani, Pedro Porto Buarque de Gusmao, Alex Iacob et al.2023 · 0 citationsarXiv
PQA: Exploring the Potential of Product Quantization in DNN Hardware Acceleration2305.18334v2 · Ahmed F. AbouElhamayed, Angela Cui, Javier Fernandez-Marques et al.2023 · 6 citationsarXiv
Federated Learning for Inference at Anytime and Anywhere2212.04084v1 · Zicheng Liu, Da Li, Javier Fernandez-Marques et al.2022 · 1 citationarXiv
Match to Win: Analysing Sequences Lengths for Efficient Self-supervised Learning in Speech and Audio2209.15575v4 · Yan Gao, Javier Fernandez-Marques, Titouan Parcollet et al.2022 · 8 citationsarXiv
ZeroFL: Efficient On-Device Training for Federated Learning with Local Sparsity2208.02507v1 · Xinchi Qiu, Javier Fernandez-Marques, Pedro PB Gusmao et al.2022 · 23 citationsInternational Conference on Learning Representations, 2022
Protea: Client Profiling within Federated Systems using Flower2207.01053v2 · Wanru Zhao, Xinchi Qiu, Javier Fernandez-Marques et al.2022 · 7 citations1st ACM Workshop on Data Privacy and Federated Learning Technologies for Mobile Edge Network (FedEdge'22), October 17,2022,Sydney, NSW, Australia
FedorAS: Federated Architecture Search under system heterogeneity2206.11239v3 · Lukasz Dudziak, Stefanos Laskaridis, Javier Fernandez-Marques2022 · 5 citationsarXiv
Federated Self-supervised Speech Representations: Are We There Yet?2204.02804v2 · Yan Gao, Javier Fernandez-Marques, Titouan Parcollet et al.2022 · 14 citationsarXiv
End-to-End Speech Recognition from Federated Acoustic Models2104.14297v2 · Yan Gao, Titouan Parcollet, Salah Zaiem et al.2021 · 42 citationsarXiv
On-device Federated Learning with Flower2104.03042v1 · Akhil Mathur, Daniel J. Beutel, Pedro Porto Buarque de Gusmao et al.2021 · 22 citationsOn-device Intelligence Workshop at the Fourth Conference on Machine Learning and Systems (MLSys), April 9, 2021
unzipFPGA: Enhancing FPGA-based CNN Engines with On-the-Fly Weights Generation2103.05600v2 · Stylianos I. Venieris, Javier Fernandez-Marques, Nicholas D. Lane2021 · 10 citationsarXiv
Degree-Quant: Quantization-Aware Training for Graph Neural Networks2008.05000v3 · Shyam A. Tailor, Javier Fernandez-Marques, Nicholas D. Lane2020 · 100 citationsarXiv
Searching for Winograd-aware Quantized Networks2002.10711v1 · Javier Fernandez-Marques, Paul N. Whatmough, Andrew Mundy et al.2020 · 24 citationsProceedings of Machine Learning and Systems (2020), 14-29
Characterization of the role of collagen network structure and composition in cancer cell migration.26738183 · Anguiano, Maria, Castilla, Carlos, Maska, Martin et al.2018 · 5 citationsAnnual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference. 2015;2015:8139-42
Career total: at least 39 works. 24 are in this corpus.
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