Zobrazeno 1 - 10
of 184
pro vyhledávání: '"Cicek, A. Ercument"'
Autor:
Erdogan, Ege, Teksen, Unat, Celiktenyildiz, Mehmet Salih, Kupcu, Alptekin, Cicek, A. Ercument
Split learning enables efficient and privacy-aware training of a deep neural network by splitting a neural network so that the clients (data holders) compute the first layers and only share the intermediate output with the central compute-heavy serve
Externí odkaz:
http://arxiv.org/abs/2302.08618
Distributed deep learning frameworks such as split learning provide great benefits with regards to the computational cost of training deep neural networks and the privacy-aware utilization of the collective data of a group of data-holders. Split lear
Externí odkaz:
http://arxiv.org/abs/2108.09052
Training deep neural networks often forces users to work in a distributed or outsourced setting, accompanied with privacy concerns. Split learning aims to address this concern by distributing the model among a client and a server. The scheme supposed
Externí odkaz:
http://arxiv.org/abs/2108.09033
Sharing genome data in a privacy-preserving way stands as a major bottleneck in front of the scientific progress promised by the big data era in genomics. A community-driven protocol named genomic data-sharing beacon protocol has been widely adopted
Externí odkaz:
http://arxiv.org/abs/2001.08852
Autor:
Firtina, Can, Kim, Jeremie S., Alser, Mohammed, Cali, Damla Senol, Cicek, A. Ercument, Alkan, Can, Mutlu, Onur
Publikováno v:
Bioinformatics . 2020 Jun 1;36(12):3669-3679
Long reads produced by third-generation sequencing technologies are used to construct an assembly (i.e., the subject's genome), which is further used in downstream genome analysis. Unfortunately, long reads have high sequencing error rates and a larg
Externí odkaz:
http://arxiv.org/abs/1902.04341
Publikováno v:
In Patterns 8 July 2022 3(7)
Personal data is collected and stored more than ever by the governments and companies in the digital age. Even though the data is only released after anonymization, deanonymization is possible by joining different datasets. This puts the privacy of i
Externí odkaz:
http://arxiv.org/abs/1605.05847
Autor:
Cicek, A. Ercument
Omics studies have shed light to human metabolism for decades, with the advancement of high throughput screening technologies. Each domain provides traces of information that may lead to solving mechanisms of complex diseases. However the number of c
Externí odkaz:
http://rave.ohiolink.edu/etdc/view?acc_num=case1372866879
Akademický článek
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Autor:
Faitot, Francois, Ruhland, Elisa, Oncioiu, Constantin, Besch, Camille, Addeo, Pietro, Cicek, A. Ercument, Bachellier, Philippe, Namer, Izzie-Jacques
Publikováno v:
In HPB October 2019 21(10):1354-1361