AI with swarm intelligence

May 26, 2021

Prof. Joachim Schultze, Director of Systems Medicine at the DZNE and professor at the Life & Medical Sciences Institute (LIMES) at the University of Bonn. (c) DZNE/Frommann

 

Novel technology for cooperative analysis of big data

Communities benefit from sharing knowledge and experience among their members. Following a similar principle - called "swarm learning" - an international research team has trained artificial intelligence algorithms to detect blood cancer, lung diseases and COVID-19 in data stored in a decentralized fashion.

This approach has advantage over conventional methods since it inherently provides privacy preservation technologies, which facilitates cross-site analysis of scientific data. Swarm learning could thus significantly promote and accelerate collaboration and information exchange in research, especially in the field of medicine. Experts from the DZNE, the University of Bonn, the information technology company Hewlett Packard Enterprise (HPE) and other research institutions report on this in the scientific journal "Nature".

Publication:
S. Warnat-Herresthal et al.: Swarm Learning for decentralized and confidential clinical machine learning. Nature

Contact:

Prof. Dr. Joachim L. Schultze
German Center for Neurodegenerative Diseases; LIMES Institute at the University of Bonn
Phone: +49 228 43302-410
Email: joachim.schultze@dzne.de