Meeting KI-Postdocs: ‘Swarm Learning'

Full Title: "Swarm Learning as a fully decentralized and confidentiality-enabling machine learning approach for disease classification" (Prof. Dr. Joachim Schultze & Stefanie Warnat-Herresthal) Fast and reliable detection of patients with severe and heterogenous illnesses is a major goal of precision medicine. We recently illustrated that leukemia patients are identified by machine learning (ML) based on their blood transcriptomes. However, there is an increasing divide between what is technically possible and what is allowed because of privacy legislation. To facilitate integration of any medical data from any data owner world-wide without violating privacy laws, we here introduce Swarm Learning (SL), a decentralized machine learning approach uniting edge computing, blockchain-based peer-to-peer networking and coordination as well as confidentiality protection without the need for a central coordinator thereby going beyond federated learning.
Time
Monday, 26.04.2021 10:00 - 11:45
Topic
Digitalization/AI, Ethics
Target groups

Researchers

Languages
English
Location
Online über Zoom
Room
https://uni-bonn.zoom.us/j/93191701586?pwd=a2IrdVpTNjJCSzJReHVSVzBNNDFkUT09 ID: 931 9170 1586 Password: 267881
Reservation
No
Organizer
TRA Individuals, Institutions and Societies; Center for Science and Thought
Contact

Dr. Charlotte Gauvry

cgauvry@uni-bonn.de

+49 171 33 160 47

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