A robust analysis of adversarial attacks on federated learning environments. - Akarsh K. Nair; Ebin Deni Raj; Jayakrushna Sahoo (Comput. Stand. Interfaces, 2023)

Privacy preserving Federated Learning framework for IoMT based big data analysis using edge computing. - Akarsh K. Nair; Jayakrushna Sahoo; Ebin Deni Raj (Comput. Stand. Interfaces, 2023)

Mobile_FL: A streamlined FL framework for process optimisation via client clustering using rough c-means algorithm. - Akarsh K. Nair; Jayakrushna Sahoo; Linga Reddy Cenkeramaddi; Gaurav Jaswal; Ebin Deni Raj (CPSS@AsiaCCS, 2024)

ComFLEX: A Communication efficient FL training framework for Edge computing environments. - Satya Srinivasa Arun Kumar Chavali; Akarsh K. Nair; Jayakrushna Sahoo (IWCMC, 2025)

A comprehensive analysis of PINNs: Variants, Applications, and Challenges. - Afila Ajithkumar Sophiya; Akarsh K. Nair; Sepehr Maleki; Senthil K. Krishnababu (CoRR, 2025)

SecureFed: A Two-Phase Framework for Detecting Malicious Clients in Federated Learning. - Likhitha Annapurna Kavuri; Akshay Mhatre; Akarsh K. Nair; Deepti Gupta (CoRR, 2025)

AndroIDS : Android-based Intrusion Detection System using Federated Learning. - Akarsh K. Nair; Shanik Hubert Satheesh Kumar; Deepti Gupta (CoRR, 2025)