SYSTEM AND METHOD FOR FEDERATED LEARNING AMONG MEDICAL INSTITUTIONS, AND DISEASE PROGNOSIS SYSTEM INCLUDING SAME

Title:

SYSTEM AND METHOD FOR FEDERATED LEARNING AMONG MEDICAL INSTITUTIONS, AND DISEASE PROGNOSIS SYSTEM INCLUDING SAME

Document Type and Number:

WIPO Patent Application WO/2024/090794

Kind Code:

A1

Abstract:

The present invention relates to a system and method for federated learning among medical institutions, and disease prognosis system including same. According to the system and method for federated learning of the present invention, a learning method of hierarchical clustering is applied to conduct federated learning in which medical data is used, and weights information generated according to results of machine learning is transmitted by applying methods of time stamp code encryption and quantum cryptography. Therefore, the present invention is expected to improve the performance of a learning model by solving the issue of data heterogeneity between medical institutions and has the advantage of ensuring stability by protecting personal information in medical data.

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Inventors:

PARK HYUN WOO (KR)
BACK KYOUNG YEON (KR)
LEE JAE DONG (KR)
CHA HYO SOUNG (KR)
KIM YU MIN (KR)
LEE YE JI (KR)

Application Number:

PCT/KR2023/014218

Publication Date:

May 02, 2024

Filing Date:

September 20, 2023

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Assignee:

NAT CANCER CENTER (KR)

International Classes:

G16H50/70; G06N20/00; G16H10/00; G16H50/50; G16H70/00; H04L9/08

Attorney, Agent or Firm:

KIM, Jong Sun (KR)

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