Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Sinem Sav"'
Autor:
Sinem Sav, Jean-Philippe Bossuat, Juan R. Troncoso-Pastoriza, Manfred Claassen, Jean-Pierre Hubaux
Publikováno v:
Patterns, Vol 3, Iss 5, Pp 100487- (2022)
Summary: Training accurate and robust machine learning models requires a large amount of data that is usually scattered across data silos. Sharing or centralizing the data of different healthcare institutions is, however, unfeasible or prohibitively
Externí odkaz:
https://doaj.org/article/bc71ad374ae649b6934e5926bb311085
Publikováno v:
IEEE Symposium Series on Computational Intelligence, SSCI 2016
SSCI
SSCI
Date of Conference: 6-9 Dec. 2016 Conference name: IEEE Symposium Series on Computational Intelligence (SSCI) 2016 Most of the biological processes including expression levels of genes and translation of DNA to produce proteins within cells depend on
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4c1a5b0d8c3b1cc48cd93151491a75bb
https://hdl.handle.net/11693/37577
https://hdl.handle.net/11693/37577
Publikováno v:
SSCI
IEEE Symposium Series on Computational Intelligence, SSCI 2016
IEEE Symposium Series on Computational Intelligence, SSCI 2016
Date of Conference: 6-9 Dec. 2016 Conference name: IEEE Symposium Series on Computational Intelligence (SSCI), 2016 RNA design is the inverse of RNA folding and it appears to be NP-hard. In RNA design, a secondary structure is given and the goal is t
Publikováno v:
IEEE Congress on Evolutionary Computation, CEC 2016
CEC
CEC
Date of Conference: 24-29 July 2016 Conference name: IEEE Congress on Evolutionary Computation (CEC), 2016 RNA structures are important for many biological processes in the cell. One important function of RNA are as catalytic elements. Ribozymes are
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2dc53c8289bcb12f3773caa4af20ace2
https://hdl.handle.net/11693/37479
https://hdl.handle.net/11693/37479
Autor:
Jean-Pierre Hubaux, Apostolos Pyrgelis, Joao Sa Sousa, Jean-Philippe Bossuat, Juan Ramón Troncoso-Pastoriza, Sinem Sav, David Froelicher
Publikováno v:
Proceedings on Privacy Enhancing Technologies, Vol 2021, Iss 2, Pp 323-347 (2021)
In this paper, we address the problem of privacy-preserving distributed learning and the evaluation of machine-learning models by analyzing it in the widespread MapReduce abstraction that we extend with privacy constraints. We design SPINDLE (Scalabl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1e6e79b6cd388364327c70ede3bc2d40
https://infoscience.epfl.ch/record/298883
https://infoscience.epfl.ch/record/298883
Publikováno v:
2016 IEEE Congress on Evolutionary Computation (CEC); 2016, p1295-1302, 8p
Autor:
Christina Pöpper, Lejla Batina
The 3-volume set LNCS 14583-14585 constitutes the proceedings of the 22nd International Conference on Applied Cryptography and Network Security, ACNS 2024, which took place in Abu Dhabi, UAE, in March 2024. The 54 full papers included in these pro
Autor:
Song Guo, Qihua Zhou
This book aims at the tiny machine learning (TinyML) software and hardware synergy for edge intelligence applications. This book presents on-device learning techniques covering model-level neural network design, algorithm-level training optimization
Autor:
Jianying Zhou, Lejla Batina, Zengpeng Li, Jingqiang Lin, Eleonora Losiouk, Suryadipta Majumdar, Daisuke Mashima, Weizhi Meng, Stjepan Picek, Mohammad Ashiqur Rahman, Jun Shao, Masaki Shimaoka, Ezekiel Soremekun, Chunhua Su, Je Sen Teh, Aleksei Udovenko, Cong Wang, Leo Zhang, Yury Zhauniarovich
This book constitutes the proceedings of the satellite workshops held around the 21st International Conference on Applied Cryptography and Network Security, ACNS 2023, held in Kyoto, Japan, in June 2023.The 34 full papers and 13 poster papers present
This book summarizes recent inventions, provides guidelines and recommendations, and demonstrates many practical applications of homomorphic encryption. This collection of papers represents the combined wisdom of the community of leading experts on H