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researcher

Navid Seidi

Computer Science Department, Missouri University of Science and Technology

2 papers hereh-index 322 citations6 works total

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

author position
  • first author2

Across the 2 of 2 papers where every author was matched, so the position is known.

fields
  • cs.LG2
affiliations
  • Computer Science Department, Missouri University of Science and Technology
ORCID 0000-0002-9912-0103

identity via Semantic Scholar / OpenAlex

collaborators

2 papers

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…

cs.LG2024

Addressing Data Heterogeneity in Federated Learning of Cox Proportional Hazards Models

Navid Seidi, Satyaki Roy, Sajal K. Das +1

The diversity in disease profiles and therapeutic approaches between hospitals and health professionals underscores the need for patient-centric personalized strategies in healthca…

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