4 citations · 4 across the 3 of their papers we have counts for
3 papers
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…
Anomalous Client Detection in Federated Learning
Dipanwita Thakur, Antonella Guzzo, Giancarlo Fortino
Federated learning (FL), with the growing IoT and edge computing, is seen as a promising solution for applications that are latency- and privacy-aware. However, due to the widespre…
Big Data in Critical Infrastructures Security Monitoring: Challenges and Opportunities
L. Aniello, A. Bondavalli, A. Ceccarelli +8
Critical Infrastructures (CIs), such as smart power grids, transport systems, and financial infrastructures, are more and more vulnerable to cyber threats, due to the adoption of c…