Zobrazeno 1 - 10
of 90
pro vyhledávání: '"Heiko Ludwig"'
Autor:
Paul Grefen, Irene Vanderfeesten, Anna Wilbik, Marco Comuzzi, Heiko Ludwig, Estefania Serral, Frank Kuitems, Menno Blanken, Marcin Pietrasik
Publikováno v:
Machines, Vol 11, Iss 6, p 636 (2023)
The outcome economy is a relatively new economic and business paradigm that promotes focusing on the effects that the use of provided products and services create for customers in their markets, rather than focusing on these products or services them
Externí odkaz:
https://doaj.org/article/a57a3d7f58e4446abd2b4fbebd918274
Publikováno v:
Journal of Parallel and Distributed Computing. 160:49-64
The proliferation of Internet-of-Things (IoT) devices is rapidly increasing the demands for efficient processing of low latency stream data generated close to the edge of the network. Edge computing-based stream processing techniques that carefully c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9fbb5b15fcf20765db910b790df3ce0f
https://doi.org/10.1016/j.jpdc.2021.10.001
https://doi.org/10.1016/j.jpdc.2021.10.001
Publikováno v:
IEEE Transactions on Cloud Computing. 8:635-646
The state-of-the-art scheduler of containerized cloud services considers load balance as the only criterion; many other important properties, including application performance, are overlooked. In the era of Big Data, however, applications evolve to b
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::88f0fdceb1862cd7f8f34dbbacaa2d71
https://doi.org/10.1109/tcc.2018.2794344
https://doi.org/10.1109/tcc.2018.2794344
Publikováno v:
Federated Learning ISBN: 9783030968953
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::913369bb05cb019c4d7c72d212ef40c0
https://doi.org/10.1007/978-3-030-96896-0_8
https://doi.org/10.1007/978-3-030-96896-0_8
Publikováno v:
Federated Learning ISBN: 9783030968953
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::902c0befd2bfce334cf010374d375511
https://doi.org/10.1007/978-3-030-96896-0_20
https://doi.org/10.1007/978-3-030-96896-0_20
Autor:
Heiko Ludwig, Nathalie Baracaldo
Publikováno v:
Federated Learning ISBN: 9783030968953
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::989d60b5d8b4721e86bb5e2c4a60170d
https://doi.org/10.1007/978-3-030-96896-0_1
https://doi.org/10.1007/978-3-030-96896-0_1
Publikováno v:
Future Generation Computer Systems. 97:10-20
Micro-services and containers are becoming the de-facto way of building software and deploying workloads in an agile manner. Following these paradigms leads eventually to replacing the old fashioned monolithic applications by compositions of single-p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fad6074aa8b08f86bed29ce50b666f38
https://doi.org/10.1016/j.future.2018.12.015
https://doi.org/10.1016/j.future.2018.12.015
Autor:
J. Johnson, Zahra Ashktorab, Benjamin Hoover, Casey Dugan, Aabhas Sharma, Qian Pan, Ingrid Lange, Werner Geyer, Bryant Chen, Heiko Ludwig, Dustin Ramsey Torres, Nathalie Baracaldo
Publikováno v:
IUI
AI Security researchers have identified a new way crowdsourced data can be intentionally compromised. Backdoor attacks are a process through which an adversary creates a vulnerability in a machine learning model by ?poisoning?’ the training set by
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ac09afb8fad6721706d150f2c9edc88a
https://doi.org/10.1145/3397481.3450647
https://doi.org/10.1145/3397481.3450647
Publikováno v:
AISec@CCS
Federated learning (FL) has been proposed to allow collaborative training of machine learning (ML) models among multiple parties where each party can keep its data private. In this paradigm, only model updates, such as model weights or gradients, are
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8b290afe87ff0599c38d41299de49278
http://arxiv.org/abs/2103.03918
http://arxiv.org/abs/2103.03918
Autor:
Nathalie Baracaldo, Bashar Altakrouri, Matthias Buchinger, Ali Anwar, Mahdi Sellami, Mark Purcell, Peter Kuhn, Heiko Ludwig, Dian Balta, Mathieu Sinn, Ulrich Schöpp
Publikováno v:
Electronic Participation ISBN: 9783030828233
ePart
ePart
Machine learning offers promising capabilities to improve administrative procedures. At the same time, adequate training of models using traditional learning techniques requires the collection and storage of enough training data in a central place. U
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::729a48f5971245d0960eb8e1b926c399
https://doi.org/10.1007/978-3-030-82824-0_10
https://doi.org/10.1007/978-3-030-82824-0_10