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Akademický článek

Das Lied des Trobadors Aimeric de Pegulhan S'ieu tan ben non ames

Autor: Kolsen, Adolf

Publikováno v: Zeitschrift für französische Sprache und Literatur, 1932 Jan 01. 56(7/8), 436-440.

Externí odkaz: https://www.jstor.org/stable/40615326

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Privacy Threats Against Federated Matrix Factorization

Autor: Gao, Dashan, Tan, Ben, Ju, Ce, Zheng, Vincent W., Yang, Qiang

Matrix Factorization has been very successful in practical recommendation applications and e-commerce. Due to data shortage and stringent regulations, it can be hard to collect sufficient data to build performant recommender systems for a single comp

Externí odkaz: http://arxiv.org/abs/2007.01587

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Privacy-Preserving Technology to Help Millions of People: Federated Prediction Model for Stroke Prevention

Autor: Ju, Ce, Zhao, Ruihui, Sun, Jichao, Wei, Xiguang, Zhao, Bo, Liu, Yang, Li, Hongshan, Chen, Tianjian, Zhang, Xinwei, Gao, Dashan, Tan, Ben, Yu, Han, He, Chuning, Jin, Yuan

Prevention of stroke with its associated risk factors has been one of the public health priorities worldwide. Emerging artificial intelligence technology is being increasingly adopted to predict stroke. Because of privacy concerns, patient data are s

Externí odkaz: http://arxiv.org/abs/2006.10517

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Federated Transfer Learning for EEG Signal Classification

Autor: Ju, Ce, Gao, Dashan, Mane, Ravikiran, Tan, Ben, Liu, Yang, Guan, Cuntai

Publikováno v: 2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), Montreal, QC, Canada, 2020, pp. 3040-3045

The success of deep learning (DL) methods in the Brain-Computer Interfaces (BCI) field for classification of electroencephalographic (EEG) recordings has been restricted by the lack of large datasets. Privacy concerns associated with EEG signals limi

Externí odkaz: http://arxiv.org/abs/2004.12321

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