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of 24
pro vyhledávání: '"Pfitzner, Bjarne"'
Autor:
Pfitzner, Bjarne, Arnrich, Bert
Federated learning (FL) is getting increased attention for processing sensitive, distributed datasets common to domains such as healthcare. Instead of directly training classification models on these datasets, recent works have considered training da
Externí odkaz:
http://arxiv.org/abs/2211.11591
Privacy regulations and the physical distribution of heterogeneous data are often primary concerns for the development of deep learning models in a medical context. This paper evaluates the feasibility of differentially private federated learning for
Externí odkaz:
http://arxiv.org/abs/2205.03168
Autor:
Beilharz, Jossekin, Pfitzner, Bjarne, Schmid, Robert, Geppert, Paul, Arnrich, Bert, Polze, Andreas
Federated learning allows a group of distributed clients to train a common machine learning model on private data. The exchange of model updates is managed either by a central entity or in a decentralized way, e.g. by a blockchain. However, the stron
Externí odkaz:
http://arxiv.org/abs/2111.01257
Akademický článek
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Machine learning algorithms are vulnerable to poisoning attacks: An adversary can inject malicious points in the training dataset to influence the learning process and degrade the algorithm's performance. Optimal poisoning attacks have already been p
Externí odkaz:
http://arxiv.org/abs/1906.07773
Autor:
Cholakoska, Ana, Gjroeski, Hristijan, Rakovic, Valentin, Denkovski, Daniel, Kalendar, Marija, Pfitzner, Bjarne, Arnrich, Bert
Publikováno v:
IEEE Internet Computing. :1-9
Given the Internet of Things rapid expansion and widespread adoption, it is of great concern to establish secure interaction between devices without worsening the quality of their performance. Using machine learning techniques has been shown to impro
Akademický článek
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Autor:
Chromik, Jonas, Klopfenstein, Sophie Anne Ines, Pfitzner, Bjarne, Sinno, Zeena-Carola, Arnrich, Bert, Balzer, Felix, Poncette, Akira-Sebastian
Publikováno v:
Frontiers in digital health. 4
Patient monitoring technology has been used to guide therapy and alert staff when a vital sign leaves a predefined range in the intensive care unit (ICU) for decades. However, large amounts of technically false or clinically irrelevant alarms provoke
Data privacy is a very important issue. Especially in fields like medicine, it is paramount to abide by the existing privacy regulations to preserve patients' anonymity. However, data is required for research and training machine learning models that
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______266::1916c1288b22ae1a41c9f92b93cc3397
https://publishup.uni-potsdam.de/frontdoor/index/index/docId/58082
https://publishup.uni-potsdam.de/frontdoor/index/index/docId/58082
Akademický článek
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