Bc. Martin Kadaši

Bachelor's thesis

Deployment of a federated machine learning architecture on oncological data

Deployment of a federated machine learning architecture on oncological data
Abstract:
Riešenu mnohých problémov v oblasti onkológie prospieva spolupráca rôznych výskumných pracovísk. Tomu však často bránia obmedzenia týkajúce sa používania citlivých údajov o pacientoch mimo inštitúcie, z ktorej pochádzajú. Konceptom, ktorý sa snaží prekonať tieto výzvy je federatívne učenie, ktoré umožňuje spoluprácu pri strojovom učení tým, že väčšinu výpočtov vykonáva lokálne, poskytuje len čiastočné …more
Abstract:
Many tasks in the field of oncology benefit from the cooperation of various research facilities. However, this is often hampered by the restrictions regarding the use of sensitive patient data outside of the host institution. A concept that tries to help researchers overcome these challenges, federated learning, allows for cooperation on machine learning tasks by doing most of the computations locally …more
 
 
Language used: English
Date on which the thesis was submitted / produced: 19. 5. 2022

Thesis defence

  • Date of defence: 1. 7. 2022
  • Supervisor: doc. Mgr. Bc. Vít Nováček, PhD
  • Reader: RNDr. Filip Lux

Citation record

Full text of thesis

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Institution archiving the thesis and making it accessible: Masarykova univerzita, Fakulta informatiky

Masaryk University

Faculty of Informatics

Bachelor programme / field:
Informatics / Artificial Intelligence and Natural Language Processing

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