Akarsh K. Nair

According to our database, Akarsh K. Nair authored at least 8 papers between 2023 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Incentivized Federated Learning: A Survey.

Akarsh K. Nair, Sinem Coleri, Jayakrushna Sahoo, Linga Reddy Cenkeramaddi, Ebin Deni Raj

IEEE Trans. Emerg. Top. Comput. Intell., October, 2025

A comprehensive analysis of PINNs: Variants, Applications, and Challenges.

Afila Ajithkumar Sophiya, Akarsh K. Nair, Sepehr Maleki, Senthil K. Krishnababu

CoRR, May, 2025

ComFLEX: A Communication efficient FL training framework for Edge computing environments.

Satya Srinivasa Arun Kumar Chavali, Akarsh K. Nair, Jayakrushna Sahoo

Proceedings of the International Wireless Communications and Mobile Computing, 2025

Androids: Android-Based Intrusion Detection System Using Federated Learning.

Akarsh K. Nair, Shanik Hubert Satheesh Kumar, Deepti Gupta

Proceedings of the 25th IEEE International Conference on Information Reuse and Integration and Data Science, 2025

SecureFed: A Two-Phase Framework for Detecting Malicious Clients in Federated Learning.

Likhitha Annapurna Kavuri, Akshay Mhatre, Akarsh K. Nair, Deepti Gupta

Proceedings of the 25th IEEE International Conference on Information Reuse and Integration and Data Science, 2025

2024

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

Proceedings of the 10th ACM Cyber-Physical System Security Workshop, 2024

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, August, 2023

A robust analysis of adversarial attacks on federated learning environments.

Akarsh K. Nair, Ebin Deni Raj, Jayakrushna Sahoo

Comput. Stand. Interfaces, August, 2023