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Researcher profile

Javier Fernández-Marqués

3 papers in the PaperMetrix corpus

Publications

Papers by this author

  1. On-device Federated Learning with Flower

    2021 · arXiv (Cornell University)

    Federated Learning (FL) allows edge devices to collaboratively learn a shared prediction model while keeping their training data on the device, thereby decoupling the ability to do machine learning from the need to store data …

  2. ZeroFL: Efficient On-Device Training for Federated Learning with Local Sparsity

    2022 · HAL (Le Centre pour la Communication Scientifique Directe)

    International audience

  3. FlowerTune: A Cross-Domain Benchmark for Federated Fine-Tuning of Large Language Models

    2025

    Large Language Models (LLMs) have achieved state-of-the-art results across diverse domains, yet their development remains reliant on vast amounts of publicly available data, raising concerns about data scarcity and the lack of access to domain-specific, …