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8 résultats
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Sketched Clustering via Hybrid Approximate Message PassingIEEE Transactions on Signal Processing, 2019, 67 (17), pp.4556-4569. ⟨10.1109/TSP.2019.2924585⟩
Article dans une revue
hal-01991231v2
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Efficient and privacy-preserving compressive learningMachine Learning [cs.LG]. Université Rennes 1, 2020. English. ⟨NNT : 2020REN1S030⟩
Thèse
tel-03023287v2
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Large-Scale High-Dimensional Clustering with Fast SketchingICASSP 2018 - IEEE International Conference on Acoustics, Speech and Signal Processing, Apr 2018, Calgary, Canada. pp.4714-4718, ⟨10.1109/ICASSP.2018.8461328⟩
Communication dans un congrès
hal-01701121v1
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Compressive Learning with Privacy GuaranteesInformation and Inference, 2022, 11 (1), pp.251-305. ⟨10.1093/imaiai/iaab005⟩
Article dans une revue
hal-02496896v2
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Compressive k-Means with Differential PrivacySPARS 2019 - Signal Processing with Adaptive Sparse Structured Representations, Jul 2019, Toulouse, France. pp.1-2
Communication dans un congrès
hal-02154820v1
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Projections aléatoires pour l'apprentissage compressifGRETSI 2019 − XXVIIème Colloque francophone de traitement du signal et des images, Aug 2019, Lille, France. pp.1-4
Communication dans un congrès
hal-02154803v1
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Sketching Datasets for Large-Scale Learning (long version)2021
Pré-publication, Document de travail
hal-02909766v2
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Differentially Private Compressive k-MeansICASSP 2019 - IEEE International Conference on Acoustics, Speech, and Signal Processing, May 2019, Brighton, United Kingdom. pp.7933-7937, ⟨10.1109/ICASSP.2019.8682829⟩
Communication dans un congrès
hal-02060208v1
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