66 citations · 105 across the 3 of their papers we have counts for
3 papers
Genetic CFL: Optimization of Hyper-Parameters in Clustered Federated Learning
Shaashwat Agrawal, Sagnik Sarkar, Mamoun Alazab +3
Federated learning (FL) is a distributed model for deep learning that integrates client-server architecture, edge computing, and real-time intelligence. FL has the capability of re…
Federated Learning for Intrusion Detection System: Concepts, Challenges and Future Directions
Shaashwat Agrawal, Sagnik Sarkar, Ons Aouedi +5
The rapid development of the Internet and smart devices trigger surge in network traffic making its infrastructure more complex and heterogeneous. The predominated usage of mobile…
Genetically Optimized Prediction of Remaining Useful Life
Shaashwat Agrawal, Sagnik Sarkar, Gautam Srivastava +2
The application of remaining useful life (RUL) prediction has taken great importance in terms of energy optimization, cost-effectiveness, and risk mitigation. The existing RUL pred…