Fernández-Marqués, Javier

8 publications

NeurIPS 2025 FlowerTune: A Cross-Domain Benchmark for Federated Fine-Tuning of Large Language Models Yan Gao, Massimo Roberto Scamarcia, Javier Fernandez-Marques, Mohammad Naseri, Chong Shen Ng, Dimitris Stripelis, Zexi Li, Tao Shen, Jiamu Bai, Daoyuan Chen, Zikai Zhang, Rui Hu, InSeo Song, Lee KangYoon, Hong Jia, Ting Dang, Junyan Wang, Zheyuan Liu, Daniel Janes Beutel, Lingjuan Lyu, Nicholas D. Lane

ICML 2024 Recurrent Early Exits for Federated Learning with Heterogeneous Clients Royson Lee, Javier Fernandez-Marques, Shell Xu Hu, Da Li, Stefanos Laskaridis, Łukasz Dudziak, Timothy Hospedales, Ferenc Huszár, Nicholas Donald Lane

JMLR 2023 A First Look into the Carbon Footprint of Federated Learning Xinchi Qiu, Titouan Parcollet, Javier Fernandez-Marques, Pedro P. B. Gusmao, Yan Gao, Daniel J. Beutel, Taner Topal, Akhil Mathur, Nicholas D. Lane

NeurIPSW 2022 Cross-Device Federated Architecture Search Stefanos Laskaridis, Javier Fernandez-Marques, Łukasz Dudziak

ICLR 2022 ZeroFL: Efficient On-Device Training for Federated Learning with Local Sparsity Xinchi Qiu, Javier Fernandez-Marques, Pedro PB Gusmao, Yan Gao, Titouan Parcollet, Nicholas Donald Lane

ICLR 2021 Degree-Quant: Quantization-Aware Training for Graph Neural Networks Shyam Anil Tailor, Javier Fernandez-Marques, Nicholas Donald Lane

ICLR 2019 An Empirical Study of Binary Neural Networks' Optimisation Milad Alizadeh, Javier Fernández-Marqués, Nicholas D. Lane, Yarin Gal

IJCAI 2018 Deterministic Binary Filters for Convolutional Neural Networks Vincent W. S. Tseng, Sourav Bhattacharya, Javier Fernández-Marqués, Milad Alizadeh, Catherine Tong, Nicholas D. Lane