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Seongjun Yang

5 papers hereh-index 3141 citations6 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author2
  • middle author2
  • last author1

Across the 5 of 5 papers where every author was matched, so the position is known.

fields
  • cs.LG3
  • cs.CL2

identity via Semantic Scholar / OpenAlex

activity
20222026
most citedTowards the Practical Utility of Federated Learning in the Medical Domain

15 citations · 32 across the 5 of their papers we have counts for

collaborators
Showing 2022Show all

2 papers · 1 filter

cs.LG2022★ 3 cited

Universal EHR Federated Learning Framework

Junu Kim, Kyunghoon Hur, Seongjun Yang +1

Federated learning (FL) is the most practical multi-source learning method for electronic healthcare records (EHR). Despite its guarantee of privacy protection, the wide applicatio…

cs.LG2022★ 15 cited

Towards the Practical Utility of Federated Learning in the Medical Domain

Seongjun Yang, Hyeonji Hwang, Daeyoung Kim +4

Federated learning (FL) is an active area of research. One of the most suitable areas for adopting FL is the medical domain, where patient privacy must be respected. Previous resea…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.