3 citations · 3 across the 4 of their papers we have counts for
3 papers · 1 filter
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…