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researcher

Navid Seidi

Computer Science Department, Missouri University of Science and Technology

5 papers hereh-index 322 citations7 works total

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

author position
  • sole author1
  • first author4

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

fields
  • cs.LG4
  • cs.GT1
affiliations
  • Computer Science Department, Missouri University of Science and Technology

identity via Semantic Scholar / OpenAlex

activity
20232026
most citedUsing Geographic Location-based Public Health Features in Survival Analysis

5 citations · 8 across the 4 of their papers we have counts for

collaborators
Showing 2025Show all

1 paper · 1 filter

cs.LG2025

Enhancing Federated Survival Analysis through Peer-Driven Client Reputation in Healthcare

Navid Seidi, Satyaki Roy, Sajal Das

Federated Learning (FL) holds great promise for digital health by enabling collaborative model training without compromising patient data privacy. However, heterogeneity across ins…

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