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Bibliografía básica
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Géron, Aurélien (2022). Hands-on Machine Learning with Scikit-Learn & TensorFlow : Concepts, Tools, and Techniques to build Intelligent Systems. 2nd Edition. O'Reilly
WANG, Jianyu, et al. (2021). A field guide to federated optimization. arXiv preprint
GEPPERTH, Alexander; HAMMER, Barbara (2016). Incremental learning algorithms and applications. European symposium on artificial neural networks (ESANN)
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Bibliografía complementaria
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HE, Haibo, et al (2011). Incremental learning from stream data. IEEE Transactions on Neural Networks, vol. 22, no 12, p. 1901-1914.
BONAWITZ, Keith, et al. (2019). Towards federated learning at scale: System design. Proceedings of Machine Learning and Systems, 2019, vol. 1, p. 374-388
Emily Glanz, Nova Fallen (2021). What Is Federated Learning?. O'Reilly
Quian Yangt et al (2019). Federated Learning. Morgan & Claypool
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Asignaturas