3 citations · 3 across the 4 of their papers we have counts for
5 papers
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…
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…
Non-Convex Optimization in Federated Learning via Variance Reduction and Adaptive Learning
Dipanwita Thakur, Antonella Guzzo, Giancarlo Fortino +1
This paper proposes a novel federated algorithm that leverages momentum-based variance reduction with adaptive learning to address non-convex settings across heterogeneous data. We…
Collision-free Exploration by Mobile Agents Using Pebbles
Sajal K. Das, Amit Kumar Dhar, Barun Gorain +1
In this paper, we study collision-free graph exploration in an anonymous pot labeled network. Two identical mobile agents, starting from different nodes in have to explore the…
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…