Analysis: Distributed Machine Learning: Improved data protection for AI applications?
Improved data protection for AI applications
KI Kompakt – Publication series of the platform “Lernende Systeme”.
Artificial Intelligence (AI) supports people in medicine, mobility, and everyday work. The basis for AI systems is training with data – often also personal information. The method of distributed machine learning can improve data protection in the development of AI applications, as the data used is not centrally bundled, but remains on the end devices and with the users. However, this can also create new points of attack for cybercriminals. The first issue of KI Kompakt, a new publication series of the Learning Systems platform, provides a brief overview of the potentials and risks of distributed machine learning.