3 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…
cs.GT2024
A Stable Matching Assignment for Cancer Treatment Centers using Survival Analysis
Navid Seidi
The treatment of cancer is one of the most discussed issues in the realm of contemporary public health research. One of the primary concerns of both the general public and the gove…