This file was created by the TYPO3 extension
bib
--- Timezone: CEST
Creation date: 2024-05-14
Creation time: 10-00-24
--- Number of references
3
inproceedings
2023_lohmoeller_transparency
Poster: Bridging Trust Gaps: Data Usage Transparency in Federated Data Ecosystems
2023
11
27
data usage control; data ecosystems; transparency logs
https://www.comsys.rwth-aachen.de/fileadmin/papers/2023/2023-lohmoeller-transparency.pdf
ACM
Proceedings of the 2023 ACM SIGSAC Conference on
Computer and Communications Security (CCS ’23), November 26-30, 2023, Copenhagen, Denmark
Copenhagen, Denmark
November 26-30, 2023
979-8-4007-0050-7/23/11
10.1145/3576915.3624371
1
JohannesLohmöller
EduardVlad
MarkusDahlmanns
KlausWehrle
inproceedings
2023_pennekamp_benchmarking_comparison
Designing Secure and Privacy-Preserving Information Systems for Industry Benchmarking
2023
6
15
13901
489-505
Benchmarking is an essential tool for industrial organizations to identify potentials that allows them to improve their competitive position through operational and strategic means. However, the handling of sensitive information, in terms of (i) internal company data and (ii) the underlying algorithm to compute the benchmark, demands strict (technical) confidentiality guarantees—an aspect that existing approaches fail to address adequately. Still, advances in private computing provide us with building blocks to reliably secure even complex computations and their inputs, as present in industry benchmarks. In this paper, we thus compare two promising and fundamentally different concepts (hardware- and software-based) to realize privacy-preserving benchmarks. Thereby, we provide detailed insights into the concept-specific benefits. Our evaluation of two real-world use cases from different industries underlines that realizing and deploying secure information systems for industry benchmarking is possible with today's building blocks from private computing.
Lecture Notes in Computer Science (LNCS), Volume 13901
real-world computing; trusted execution environments; homomorphic encryption; key performance indicators; benchmarking
internet-of-production
https://jpennekamp.de/wp-content/papercite-data/pdf/plv+23.pdf
Springer
Proceedings of the 35th International Conference on Advanced Information Systems Engineering (CAiSE '23), June 12-16, 2023, Zaragoza, Spain
Zaragoza, Spain
35th International Conference on Advanced Information Systems Engineering (CAiSE '23)
June 12-16, 2023
978-3-031-34559-3
0302-9743
10.1007/978-3-031-34560-9_29
1
JanPennekamp
JohannesLohmöller
EduardVlad
JoschaLoos
NiklasRodemann
PatrickSapel
Ina BereniceFink
SethSchmitz
ChristianHopmann
MatthiasJarke
GüntherSchuh
KlausWehrle
MartinHenze
article
2023-circres-wu-comp-ecosystem
Use of Computation Ecosystems to Analyze the Kidney-Heart Crosstalk
Circulation research
2023
4
14
132
8
1084-1100
The identification of mediators for physiologic processes, correlation of molecular processes, or even pathophysiological processes within a single organ such as the kidney or heart has been extensively studied to answer specific research questions using organ-centered approaches in the past 50 years. However, it has become evident that these approaches do not adequately complement each other and display a distorted single-disease progression, lacking holistic multilevel/multidimensional correlations. Holistic approaches have become increasingly significant in understanding and uncovering high dimensional interactions and molecular overlaps between different organ systems in the pathophysiology of multimorbid and systemic diseases like cardiorenal syndrome because of pathological heart-kidney crosstalk. Holistic approaches to unraveling multimorbid diseases are based on the integration, merging, and correlation of extensive, heterogeneous, and multidimensional data from different data sources, both -omics and nonomics databases. These approaches aimed at generating viable and translatable disease models using mathematical, statistical, and computational tools, thereby creating first computational ecosystems. As part of these computational ecosystems, systems medicine solutions focus on the analysis of -omics data in single-organ diseases. However, the data–scientific requirements to address the complexity of multimodality and multimorbidity reach far beyond what is currently available and require multiphased and cross-sectional approaches. These approaches break down complexity into small and comprehensible challenges. Such holistic computational ecosystems encompass data, methods, processes, and interdisciplinary knowledge to manage the complexity of multiorgan crosstalk. Therefore, this review summarizes the current knowledge of kidney-heart crosstalk, along with methods and opportunities that arise from the novel application of computational ecosystems providing a holistic analysis on the example of kidney-heart crosstalk.
disease progression; ecosystem; heart; kidney; multimorbidity
coat-ers
Online
en
10.1161/CIRCRESAHA.123.321765
1
ZhuojunWu
JohannesLohmöller
ChristianeKuhl
KlausWehrle
JoachimJankowski