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cs.LG2026
Adaptive Bayesian Partner Selection for Federated Clinical Centers
Navid Seidi, Satyaki Roy, Sajal K. Das
Federated learning (FL) in healthcare faces pronounced heterogeneity and temporal concept drift across clinical centers, where evolving patient populations and care practices shift…
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★ 3 cited
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…