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Disambiguation of "Shepeleva, Natalia"

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Beyond federated learning: On confidentiality-critical machine learning applications in industry

, , , , , , , , and . Procedia Computer Science, (2021)Proceedings of the 2nd International Conference on Industry 4.0 and Smart Manufacturing (ISM 2020).
DOI: https://doi.org/10.1016/j.procs.2021.01.296

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To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Ekaterina Shepeleva-Bouvard

Natalia Seller

Ichthyosis vulgaris: novel FLG mutations in the German population and high presence of dentritic cells in the epidermis of the atopic subgroup. Uni Münster, (2009)

Natalia Pavalenco

Natalia Kühn

Natalia Bajraszewski

 

Other publications of authors with the same name

Beyond federated learning: On confidentiality-critical machine learning applications in industry, , , , , , , , and . Procedia Computer Science, (2021)Towards an Understanding of Transactional Tasks., and . CLEF, volume 9822 of Lecture Notes in Computer Science, page 234-240. Springer, (2016)Beyond federated learning: On confidentiality-critical machine learning applications in industry., , , , , , , , and . ISM, volume 180 of Procedia Computer Science, page 734-743. Elsevier, (2020)The balancing principle for parameter choice in distance-regularized domain adaptation., , , , , , , and . NeurIPS, page 20798-20811. (2021)Optimization and deployment of CNNs at the edge: the ALOHA experience., , , , , , , , , and 8 other author(s). CF, page 326-332. ACM, (2019)Beyond federated learning: On confidentiality-critical machine learning applications in industry, , , , , , , , and . Procedia Computer Science, (2021)Proceedings of the 2nd International Conference on Industry 4.0 and Smart Manufacturing (ISM 2020).ReLU Code Space: A Basis for Rating Network Quality Besides Accuracy., , , and . CoRR, (2020)Architecture-aware design and implementation of CNN algorithms for embedded inference: the ALOHA project., , , , , , , , , and 9 other author(s). ICM, page 52-55. IEEE, (2018)ALOHA: an architectural-aware framework for deep learning at the edge., , , , , , , , , and 9 other author(s). INTESA@ESWEEK, page 19-26. ACM, (2018)