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

W. Zellinger, V. Wieser, M. Kumar, D. Brunner, N. Shepeleva, R. Gálvez, J. Langer, L. Fischer, и B. Moser. 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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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 subgroupN. Seller. Uni Münster, (2009)

Natalia Tkatschuk

Natalia Brüggemann

Natalia Elfimova

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Beyond federated learning: On confidentiality-critical machine learning applications in industryW. Zellinger, V. Wieser, M. Kumar, D. Brunner, N. Shepeleva, R. Gálvez, J. Langer, L. Fischer, и B. Moser. Procedia Computer Science, (2021)Towards an Understanding of Transactional Tasks.N. Shepeleva, и K. Balog. CLEF, том 9822 из Lecture Notes in Computer Science, стр. 234-240. Springer, (2016)Beyond federated learning: On confidentiality-critical machine learning applications in industry.W. Zellinger, V. Wieser, M. Kumar, D. Brunner, N. Shepeleva, R. Gálvez, J. Langer, L. Fischer, и B. Moser. ISM, том 180 из Procedia Computer Science, стр. 734-743. Elsevier, (2020)The balancing principle for parameter choice in distance-regularized domain adaptation.W. Zellinger, N. Shepeleva, M. Dinu, H. Eghbal zadeh, H. Nguyen, B. Nessler, S. Pereverzyev, и B. Moser. NeurIPS, стр. 20798-20811. (2021)Optimization and deployment of CNNs at the edge: the ALOHA experience.P. Meloni, D. Loi, P. Busia, G. Deriu, A. Pimentel, D. Sapra, T. Stefanov, S. Minakova, F. Conti, L. Benini и 8 other автор(ы). CF, стр. 326-332. ACM, (2019)Beyond federated learning: On confidentiality-critical machine learning applications in industryW. Zellinger, V. Wieser, M. Kumar, D. Brunner, N. Shepeleva, R. Gálvez, J. Langer, L. Fischer, и B. Moser. 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.N. Shepeleva, W. Zellinger, M. Lewandowski, и B. Moser. CoRR, (2020)Architecture-aware design and implementation of CNN algorithms for embedded inference: the ALOHA project.P. Meloni, D. Loi, G. Deriu, A. Pimentel, D. Sapra, M. Pintor, B. Biggio, O. Ripolles, D. Solans, F. Conti и 9 other автор(ы). ICM, стр. 52-55. IEEE, (2018)ALOHA: an architectural-aware framework for deep learning at the edge.P. Meloni, D. Loi, G. Deriu, A. Pimentel, D. Sapra, B. Moser, N. Shepeleva, F. Conti, L. Benini, O. Ripolles и 9 other автор(ы). INTESA@ESWEEK, стр. 19-26. ACM, (2018)

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