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Listar por palabra clave "Federated learning"

RiuNet: Repositorio Institucional de la Universidad Politécnica de Valencia

Listar por palabra clave "Federated learning"

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    Estudio de la utilización de coaliciones en algoritmos de aprendizaje federado en sistemas multi-agente 
    Enguix Andrés, Francisco (Universitat Politècnica de València, 2023-09-20)
    [ES] Una de las últimas grandes evoluciones en el aprendizaje distribuido ha sido el desarrollo del aprendizaje federado. Este tipo de aprendizaje se ha llevado a la práctica con éxito utilizando, entre otros, sistemas ...
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    Federated learning: A cutting-edge survey of the latest advancements and applications 
    Akhtarshenas, Azim; Vahedifar, Mohammad Ali; Ayoobi, Navid; Maham, Behrouz; Alizadeh, Tohid; Ebrahimi, Sina; López-Pérez, David (Elsevier, 2024-12-01)
    [EN] Robust machine learning (ML) models can be developed by leveraging large volumes of data and distributing the computational tasks across numerous devices or servers. Federated learning (FL) is a technique in the realm ...
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    Federating Medical Deep Learning Models from Private Jupyter Notebooks to Distributed Institutions 
    Launet, Laetitia Mariana; Wang, Yuandou; Colomer, Adrián; Igual García, Jorge; Pulgarín-Ospina, Cristian Camilo; Koulouzis, Spiros; Bianchi, Riccardo; Mosquera-Zamudio, Andrés; Monteagudo, Carlos; Naranjo Ornedo, Valeriana; Zhao, Zhiming (MDPI AG, 2023-01)
    [EN] Deep learning-based algorithms have led to tremendous progress over the last years, but they face a bottleneck as their optimal development highly relies on access to large datasets. To mitigate this limitation, ...
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    FLaMAS: Federated Learning Based on a SPADE MAS 
    Rincón-Arango, Jaime Andrés; Julian, Vicente; Carrascosa Casamayor, Carlos (MDPI AG, 2022-04)
    [EN] In recent years federated learning has emerged as a new paradigm for training machine learning models oriented to distributed systems. The main idea is that each node of a distributed system independently trains a ...