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Privacy-Preserving Artificial Intelligence Techniques in Biomedicine
89
Zitationen
9
Autoren
2022
Jahr
Abstract
As the most promising direction, we suggest combining federated machine learning as a more scalable approach with other additional privacy-preserving techniques. This would allow to merge the advantages to provide privacy guarantees in a distributed way for biomedical applications. Nonetheless, more research is necessary as hybrid approaches pose new challenges such as additional network or computation overhead.
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