Genetic CFL: Optimization of Hyper-Parameters in Clustered Federated Learning

1 code implementation • 15 Jul 2021 • Shaashwat Agrawal, Sagnik Sarkar, Mamoun Alazab, Praveen Kumar Reddy Maddikunta, Thippa Reddy Gadekallu, Quoc-Viet Pham

Federated learning (FL) is a distributed model for deep learning that integrates client-server architecture, edge computing, and real-time intelligence.

Edge-computing Federated Learning

Federated Learning for Intrusion Detection System: Concepts, Challenges and Future Directions

no code implementations • 16 Jun 2021 • Shaashwat Agrawal, Sagnik Sarkar, Ons Aouedi, Gokul Yenduri, Kandaraj Piamrat, Sweta Bhattacharya, Praveen Kumar Reddy Maddikunta, Thippa Reddy Gadekallu

The paper finally presents the plausible solutions associated with the identified challenges in FL based intrusion detection system implementation acting as a baseline for prospective research.

Anomaly Detection Autonomous Vehicles +3

Genetically Optimized Prediction of Remaining Useful Life

no code implementations • 17 Feb 2021 • Shaashwat Agrawal, Sagnik Sarkar, Gautam Srivastava, Praveen Kumar Reddy Maddikunta, Thippa Reddy Gadekallu

The application of remaining useful life (RUL) prediction has taken great importance in terms of energy optimization, cost-effectiveness, and risk mitigation.