Zobrazeno 1 - 10
of 2 853
pro vyhledávání: '"Nicosia G"'
Publikováno v:
33rd International Conference on Artificial Neural Networks (ICANN) (2024)
Hierarchical federated learning (HFL) is a promising distributed deep learning model training paradigm, but it has crucial security concerns arising from adversarial attacks. This research investigates and assesses the security of HFL using a novel m
Externí odkaz:
http://arxiv.org/abs/2408.10752
Autor:
Camacho, Paul R.
Publikováno v:
Armed Forces & Society, 2007 Apr 01. 33(3), 451-454.
Externí odkaz:
https://www.jstor.org/stable/48608787
Autor:
Adamová, D., Rinella, G. Aglieri, Agnello, M., Ahammed, Z., Aleksandrov, D., Alici, A., Alkin, A., Alt, T., Altsybeev, I., Andreou, D., Andronic, A., Antinori, F., Antonioli, P., Appelshäuser, H., Arnaldi, R., Arsene, I. C., Arslandok, M., Averbeck, R., Azmi, M. D., Bai, X., Bailhache, R., Bala, R., Barioglio, L., Barnaföldi, G. G., Barnby, L. S., Bartalini, P., Barth, K., Basu, S., Becattini, F., Bedda, C., Belikov, I., Bellini, F., Bellwied, R., Beole, S., Bergmann, L., Bertens, R. A., Besoiu, M., Betev, L., Bhatti, A., Bianchi, A., Bianchi, L., Bielčík, J., Bielčíková, J., Bilandzic, A., Biswas, S., Biswas, R., Blau, D., Bock, F., Bombara, M., Borri, M., Braun-Munzinger, P., Bregant, M., Bruno, G. E., Buckland, M. D., Buesching, H., Bufalino, S., Buncic, P., Butt, J. B., Caliva, A., Camerini, P., Carnesecchi, F., Castellanos, J. Castillo, Catalano, F., Chapeland, S., Chartier, M., Cheshkov, C., Cheynis, B., Barroso, V. Chibante, Chinellato, D. D., Chochula, P., Chujo, T., Cicalo, C., Colamaria, F., Colella, D., Concas, M., del Valle, Z. Conesa, Contin, G., Contreras, J. G., Costa, F., Dönigus, B., Dahms, T., Dainese, A., Dainton, J., Danu, A., Das, S., Das, D., Dash, S., Dash, A., David, G., De Caro, A., de Cataldo, G., De Falco, A., De Marco, N., De Pasquale, S., Deb, S., Di Bari, D., Di Mauro, A., Dietel, T., Divià, R., Dmitrieva, U., Dobrin, A., Dubey, A. K., Dubla, A., Elia, D., Erazmus, B., Erokhin, A., Eulisse, G., Evans, D., Fabbietti, L., Faggin, M., Fecchio, P., Feliciello, A., Feofilov, G., Téllez, A. Fernández, Festanti, A., Floerchinger, S., Foka, P., Fokin, S., Franco, A., Furget, C., Furs, A., Gaardhøje, J., Gagliardi, M., Ganoti, P., Garabatos, C., Garcia-Solis, E., Gargiulo, C., Gasik, P., Ducati, M. B. Gay, Germain, M., Ghosh, P., Giubellino, P., Giubilato, P., Glässel, P., Gonzalez, V., Grachov, O., Grigoryan, A., Grigoryan, S., Grosa, F., Grosse-Oetringhaus, J. F., Guernane, R., Gunji, T., Gupta, R., Gupta, A., Habib, M. K., Hamagaki, H., Harris, J. W., Hatzifotiadou, D., Heckel, S. T., Hellbär, E., Helstrup, H., Herman, T., Hillemanns, H., Hills, C., Hippolyte, B., Hornung, S., Hristov, P., Iddon, J. P., Igolkin, S., Innocenti, G., Ippolitov, M., Ivanov, M., Jacholkowski, A., Jung, M., Jusko, A., Köhler, M. K., Kabana, S., Kalweit, A., Uysal, A. Karasu, Karavicheva, T., Kebschull, U., Keidel, R., Keil, M., Ketzer, B., Khan, S. A., Khanzadeev, A., Kharlov, Y., Khuntia, A., Kim, B., Kim, J., Kim, M., Klein, J., Klein, C., Klein-Bösing, C., Klewin, S., Kluge, A., Knichel, M. L., Kobdaj, C., Kofarago, M., Konopka, P. J., Kovalenko, V., Králik, I., Krüger, M., Kreis, L., Krivda, M., Krizek, F., Kroesen, M., Kryshen, E., Kučera, V., Kuhn, C., Kumar, L., Kundu, S., Kushpil, S., Kweon, M. J., Kwon, M., Kwon, Y., Lévai, P., La Pointe, S. L., Laudi, E., Lazareva, T., Lea, R., Leardini, L., Lee, S., Lemmon, R. C., Lietava, R., Lim, B., Lindenstruth, V., Lindner, A., Lippmann, C., Liu, J., Lopez, J. Lopez, Lourenco, C., Luparello, G., Mahmood, S. M., Maire, A., Manzari, V., Mao, Y., Marín, A., Marchisone, M., Margagliotti, G. V., Marquard, M., Martinengo, P., Masciocchi, S., Masera, M., Masson, E., Mastroserio, A., Mathis, A. M., Matyja, A., Mazzilli, M., Mazzoni, M. A., Micheletti, L., Mishra, A. N., Miskowiec, D., Mohanty, B., Khan, M. Mohisin, Morsch, A., Mrnjavac, T., Muccifora, V., Mühlheim, D., Muhuri, S., Mulligan, J. D., Munhoz, M. G., Munzer, R. H., Murakami, H., Musa, L., Naik, B., Nandi, B. K., Nania, R., Nayak, T. K., Nesterov, D., Nicosia, G., Nikolaev, S., Nikulin, V., Noferini, F., Norman, J., Nyanin, A., Okorokov, V., Oppedisano, C., Otwinowski, J., Oyama, K., Płoskoń, M., Pachmayer, Y., Pandey, A. K., Pastore, C., Pawlowski, J., Pei, H., Peitzmann, T., Peresunko, D., Petrovici, M., Pezzi, R. P., Piano, S., Prakasa, E., Prasad, S. K., Preghenella, R., Prino, F., Pruneau, C. A., Pshenichnov, I., Puccio, M., Pucek, J., Quercigh, E., Röhrich, D., Ramello, L., Rami, F., Raniwala, S., Raniwala, R., Rath, R., Ravasenga, I., Redelbach, A., Redlich, K., Reidt, F., Reygers, K., Riabov, V., Riedler, P., Riegler, W., Rischke, D., Ristea, C., Rode, S. P., Cahuantzi, M. Rodríguez, Rohr, D., Rossi, A., Rui, R., Rustamov, A., Rybicki, A., Šafařík, K., Sadikin, R., Sadovsky, S., Sahoo, R., Sahoo, P., Sahu, P. K., Saini, J., Samsonov, V., Sarma, P., Scheid, H. S., Schicker, R., Schmah, A., Schmidt, M. O., Schmidt, C., Schutz, Y., Schweda, K., Scomparin, E., Seger, J. E., Senyukov, S., Seryakov, A., Shahoyan, R., Sharma, N., Siddhanta, S., Siemiarczuk, T., Singh, R., Sitta, M., Soltveit, H., Spyropoulou-Stassinaki, M., Stachel, J., Sugitate, T., Sumowidagdo, S., Sun, X., Takahashi, J., Terrevoli, C., Toia, A., Topilskaya, N., Tripathy, S., Trogolo, S., Trubnikov, V., Trzaska, W. H., Trzeciak, B. A., Tveter, T. S., Uras, A., Usai, G. L., Valentino, G., van Doremalen, L. V. R., van Leeuwen, M., Vyvre, P. Vande, Vasileiou, M., Vechernin, V., Vermunt, L., Baillie, O. Villalobos, Virgili, T., Vodopyanov, A., Voloshin, S. A., Volpe, G., von Haller, B., Vorobyev, I., Wang, Y., Weber, M., Wegrzynek, A., Weiser, D. F., Wenzel, S. C., Wessels, J. P., Wiechula, J., Wiedemann, U., Wilkinson, J., Windelband, B., Winn, M., Xu, N., Yamakawa, K., Yin, Z., Yoo, I. -K., Yoon, J. H., Yuncu, A., Zaccolo, V., Zampolli, C., Zarochentsev, A., Zhang, B., Zhang, X., Zhao, C., Zherebchevskii, V., Zhou, D., Zhou, Y., Zinovjev, G.
The present document discusses plans for a compact, next-generation multi-purpose detector at the LHC as a follow-up to the present ALICE experiment. The aim is to build a nearly massless barrel detector consisting of truly cylindrical layers based o
Externí odkaz:
http://arxiv.org/abs/1902.01211
Autor:
Pappalardo XG; Department of Biomedical and Biotechnological Sciences, University of Catania, Catania, Italy., Jansen G; Department of Biomedical and Biotechnological Sciences, University of Catania, Catania, Italy.; Department of Biochemistry, University of Cambridge, Cambridge, UK., Amaradio M; Department of Biomedical and Biotechnological Sciences, University of Catania, Catania, Italy., Costanza J; The National Institute of Molecular Genetics 'Romeo and Enrica Invernizzi', Milano, Italy., Umeton R; Department of Informatics and Analytics, Dana-Farber Cancer Institute, Boston, MA, USA., Guarino F; Department of Biomedical and Biotechnological Sciences, University of Catania, Catania, Italy.; National Institute of Biostructures and Biosystems, Section of Catania, Catania, Italy., De Pinto V; Department of Biomedical and Biotechnological Sciences, University of Catania, Catania, Italy.; National Institute of Biostructures and Biosystems, Section of Catania, Catania, Italy., Oliver SG; Department of Biochemistry, University of Cambridge, Cambridge, UK., Messina A; Department of Biological, Geological and Environmental Sciences, University of Catania, Catania, Italy.; National Institute of Biostructures and Biosystems, Section of Catania, Catania, Italy., Nicosia G; Department of Biomedical and Biotechnological Sciences, University of Catania, Catania, Italy.; Department of Biochemistry, University of Cambridge, Cambridge, UK.
Publikováno v:
Heliyon [Heliyon] 2024 Nov 26; Vol. 10 (23), pp. e40696. Date of Electronic Publication: 2024 Nov 26 (Print Publication: 2024).
Autor:
Jansen G; Department of Biochemistry, University of Cambridge, Cambridge, UK.; Department of Biomedical & Biotechnological Sciences, University of Catania, Catania, Italy., Qi T; Manchester Institute of Biotechnology, University of Manchester, Manchester, UK., Latora V; School of Mathematical Sciences, Queen Mary University of London, London, UK.; Department of Physics and I.N.F.N., University of Catania, Catania, Italy., Amoutzias GD; Bioinformatics Laboratory, Department of Biochemistry & Biotechnology, University of Thessaly, Thessaly, Greece., Delneri D; Manchester Institute of Biotechnology, University of Manchester, Manchester, UK., Oliver SG; Department of Biochemistry, University of Cambridge, Cambridge, UK. sgo24@cam.ac.uk., Nicosia G; Department of Biochemistry, University of Cambridge, Cambridge, UK. giuseppe.nicosia@unict.it.; Department of Biomedical & Biotechnological Sciences, University of Catania, Catania, Italy. giuseppe.nicosia@unict.it.
Publikováno v:
Nature communications [Nat Commun] 2024 Oct 31; Vol. 15 (1), pp. 9076. Date of Electronic Publication: 2024 Oct 31.
Publikováno v:
In Solid State Electronics January 2019 151:18-22
Autor:
Amaradio MN; Department of Biomedical & Biotechnological Sciences, University of Catania, Catania, Italy., Jansen G; Department of Biomedical & Biotechnological Sciences, University of Catania, Catania, Italy.; Department of Biochemistry, University of Cambridge, Cambridge, UK., Costanza J; Fondazione Istituto Nazionale di Genetica Molecolare (INGM), Milan, Italy., Patanè A; School of Computer Science and Statistics, Trinity College Dublin, Dublin, Ireland., Branduardi P; Department of Biotechnology and Bioscience, University of Milano-Bicocca, Milano, Italy., Porro D; Department of Biotechnology and Bioscience, University of Milano-Bicocca, Milano, Italy.; Istituto di Bioimmagini e Fisiologia Molecolare, CNR, Milano, Italy., Nicosia G; Department of Biomedical & Biotechnological Sciences, University of Catania, Catania, Italy.; Department of Biochemistry, University of Cambridge, Cambridge, UK.
Publikováno v:
Biotechnology and bioengineering [Biotechnol Bioeng] 2023 Jul; Vol. 120 (7), pp. 1929-1952. Date of Electronic Publication: 2023 Apr 05.
Akademický článek
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Publikováno v:
In Theoretical Computer Science 27 September 2015 599:102-117
Autor:
Mettes, P., Nicosia, G., Ojha, V., La Malfa, E., La Malfa, G., Pardalos, P., Di Fatta, G., Giuffrida, G., Umeton, R.
Publikováno v:
Machine Learning, Optimization, and Data Science ISBN: 9783031255984
Machine Learning, Optimization, and Data Science: 8th International Conference, LOD 2022, Certosa di Pontignano, Italy, September 19–22, 2022, Revised Selected Papers, I, 48-61
Machine Learning, Optimization, and Data Science: 8th International Conference, LOD 2022, Certosa di Pontignano, Italy, September 19–22, 2022, Revised Selected Papers, I, 48-61
This work proposes codebook encodings for graph networks that operate on hyperbolic manifolds. Where graph networks commonly learn node representations in Euclidean space, recent work has provided a generalization to Riemannian manifolds, with a part
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::55782b8384e2b589cded33adaf260098
https://doi.org/10.1007/978-3-031-25599-1_5
https://doi.org/10.1007/978-3-031-25599-1_5